statsmodels/statsmodels

11.9

Adjusted Score

11.9

Raw Score

100%

Time Factor

2026-07-12

Last Push

11.5K

Stars

Python

Language

495.0K

Lines of Code

1.5K

Files

4.1K

Pattern Hits

2026-07-14

Scan Date

0.21

HC Hit Rate

What These Metrics Mean

Adjusted Score: Primary synthetic code indicator. Raw score normalised per 1,000 lines of code and multiplied by the temporal discount factor. This is the definitive comparative metric — use it to rank repositories by AI authorship density.
Raw Score: The unmodified sum of all severity-weighted, context-multiplied pattern match scores before temporal discounting. Reflects the absolute signal strength independent of when the repository was last active.
Time Factor: The temporal discount multiplier (0–100%) applied to the raw score. Repositories last updated before ChatGPT's launch (Nov 2022) receive a 5% factor. Full signal is only assigned to repositories active in the post-adoption era (Jan 2024+).
Pattern Hits: Total count of individual pattern matches across all files and categories. A high hit count with a low score may indicate a very large codebase with isolated AI snippets; a low count with a high score indicates dense, concentrated AI signatures.
HC Hit Rate: High+Critical pattern hits per file, averaged across the repository. This orthogonal signal catches repositories where a few files are densely packed with high-severity AI tells — a strong indicator even when the normalised score appears moderate due to codebase size.
Lines of Code / Files: Total lines and files analysed. The scanner examines 94 file extensions. These denominators are used to normalise the score, enabling fair comparison between repositories of vastly different sizes.

Score History

This chart maps the temporal evolution of the adjusted synthetic code score across successive scan runs. An upward trajectory indicates ongoing incorporation of AI-generated code or expanding LLM-assisted scaffolding; a stable or declining trajectory may reflect active human refactoring, code removal, or the adoption of stricter authorship policies. The dashed secondary line (right axis) independently tracks total raw pattern hit count, which can diverge from the normalised score when codebase size changes significantly between scans.

Severity Breakdown

Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.

CRITICAL 2HIGH 316MEDIUM 459LOW 3321

Directory Score Breakdown

This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.

Pattern Findings

The scanner identified 4098 distinct pattern matches across 23 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.

Hyper-Verbose Identifiers982 hits · 918 pts

Severity	File	Line	Snippet	Context
LOW	tools/validate_docstrings.py	650	def get_returns_not_on_nested_functions(node):	CODE
LOW	tools/validate_docstrings.py	686	def mentioned_private_classes(self):	CODE
LOW	examples/python/lowess.py	64	def lowess_with_confidence_bounds(	CODE
LOW	examples/python/statespace_tvpvar_mcmc_cfa.py	493	def plot_coefficients_by_equation(states):	CODE
LOW	statsmodels/conftest.py	158	def pytest_collection_modifyitems(config, items):	CODE
LOW	statsmodels/conftest.py	195	def check_global_randomstate_usage(request):	CODE
LOW	statsmodels/robust/tools.py	502	def _convert_to_dict_mvmean_effs(eff_mean=True):	CODE
LOW	statsmodels/robust/covariance.py	51	def _naive_ledoit_wolf_shrinkage(x, center):	STRING
LOW	statsmodels/robust/covariance.py	77	def coef_normalize_cov_truncated(frac, k_vars):	STRING
LOW	statsmodels/robust/covariance.py	119	def _coef_normalize_cov_truncated_(frac, k_vars):	STRING
LOW	statsmodels/robust/covariance.py	792	def cov_tyler_pairs_regularized(	CODE
LOW	statsmodels/robust/tests/test_rlm.py	328	def test_rlm_start_values_errors():	CODE
LOW	statsmodels/robust/tests/test_scale.py	445	def test_scale_trimmed_approx():	CODE
LOW	statsmodels/nonparametric/kernels_asymmetric.py	636	def kernel_pdf_recipinvgauss_(x, sample, bw):	STRING
LOW	statsmodels/nonparametric/kernels.py	165	def aitchison_aitken_convolution(h, Xi, Xj):	CODE
LOW⚡	statsmodels/nonparametric/tests/test_kde.py	50	def test_check_is_fit_exception(self):	CODE
LOW⚡	statsmodels/nonparametric/tests/test_kde.py	54	def test_non_weighted_fft_exception(self):	CODE
LOW⚡	statsmodels/nonparametric/tests/test_kde.py	64	def test_wrong_weight_length_exception(self):	CODE
LOW⚡	statsmodels/nonparametric/tests/test_kde.py	74	def test_non_gaussian_fft_exception(self):	CODE
LOW	statsmodels/nonparametric/tests/test_kde.py	352	def test_norm_constant_calculation(self):	CODE
LOW	statsmodels/nonparametric/tests/test_kde.py	399	def test_check_is_fit_ok_with_custom_bandwidth(self):	CODE
LOW	statsmodels/nonparametric/tests/test_kde.py	406	def test_check_is_fit_ok_with_standard_custom_bandwidth(self):	CODE
LOW	statsmodels/nonparametric/tests/test_kde.py	418	def test_check_is_fit_ok_with_float_bandwidth(self, fft):	CODE
LOW	…tsmodels/nonparametric/tests/test_kernel_regression.py	284	def test_continuousdata_lc_cvls(self):	CODE
LOW	…tsmodels/nonparametric/tests/test_kernel_regression.py	309	def test_continuousdata_ll_cvls(self):	CODE
LOW	…tsmodels/nonparametric/tests/test_kernel_regression.py	333	def test_continuous_mfx_ll_cvls(self):	CODE
LOW	…tsmodels/nonparametric/tests/test_kernel_regression.py	384	def test_mfx_nonlinear_ll_cvls(self):	CODE
LOW	…tsmodels/nonparametric/tests/test_kernel_regression.py	413	def test_continuous_cvls_efficient(self):	CODE
LOW	…tsmodels/nonparametric/tests/test_kernel_regression.py	482	def test_significance_continuous(self):	CODE
LOW	…tsmodels/nonparametric/tests/test_kernel_regression.py	509	def test_significance_seed_legacy(self):	CODE
LOW	…tsmodels/nonparametric/tests/test_kernel_regression.py	594	def test_significance_seed_thread_safe(self):	CODE
LOW	…tsmodels/nonparametric/tests/test_kernel_regression.py	626	def test_significance_discrete(self):	CODE
LOW	…tsmodels/nonparametric/tests/test_kernel_regression.py	656	def test_user_specified_kernel(self):	CODE
LOW	…tsmodels/nonparametric/tests/test_kernel_regression.py	682	def test_censored_user_specified_kernel(self):	CODE
LOW	…tsmodels/nonparametric/tests/test_kernel_regression.py	709	def test_efficient_user_specificed_bw(self):	CODE
LOW	…tsmodels/nonparametric/tests/test_kernel_regression.py	724	def test_censored_efficient_user_specificed_bw(self):	CODE
LOW	statsmodels/nonparametric/tests/test_bandwidths.py	30	def test_calculate_bandwidth_gaussian(self):	CODE
LOW	statsmodels/nonparametric/tests/test_bandwidths.py	42	def test_calculate_normal_reference_bandwidth(self):	CODE
LOW	statsmodels/nonparametric/tests/test_bandwidths.py	51	def test_calculate_normal_reference_constant(self):	CODE
LOW	statsmodels/nonparametric/tests/test_kernel_density.py	271	def test_weighted_pdf_non_fft(self):	CODE
LOW	statsmodels/nonparametric/tests/test_kernel_density.py	296	def test_all_samples_same_location_bw(self):	CODE
LOW	statsmodels/nonparametric/tests/test_kernel_density.py	415	def test_continuous_cvls_efficient(self):	CODE
LOW	statsmodels/nonparametric/tests/test_kernel_density.py	435	def test_continuous_cvml_efficient(self):	CODE
LOW	statsmodels/nonparametric/tests/test_kernel_density.py	476	def test_efficient_user_specified_bw(self):	CODE
LOW	statsmodels/nonparametric/tests/test_kernel_density.py	572	def test_continuous_normal_ref(self):	CODE
LOW	statsmodels/nonparametric/tests/test_kernel_density.py	632	def test_continuous_cvml_efficient(self):	CODE
LOW	statsmodels/nonparametric/tests/test_kernel_density.py	659	def test_efficient_user_specified_bw(self):	CODE
LOW	statsmodels/tools/docstring.py	90	def read_to_next_unindented_line(self):	CODE
LOW	statsmodels/tools/tests/test_data.py	47	def test_as_array_with_name_series():	CODE
LOW	statsmodels/tools/tests/test_data.py	54	def test_as_array_with_name_array():	CODE
LOW⚡	statsmodels/tools/tests/test_docstring_helpers.py	56	def test_dict_deprecate_kwarg(key):	CODE
LOW⚡	statsmodels/tools/tests/test_docstring_helpers.py	62	def test_missing_deprecate_kwarg(key):	CODE
LOW⚡	statsmodels/tools/tests/test_docstring_helpers.py	69	def test_callable_deprecate_kwarg(x):	CODE
LOW	statsmodels/tools/tests/test_tools.py	82	def test_add_constant_dataframe(self):	CODE
LOW	statsmodels/tools/tests/test_tools.py	132	def test_extendedpinv_singular(self):	CODE
LOW	statsmodels/tools/tests/test_tools.py	200	def test_pandas_const_series_prepend():	CODE
LOW	statsmodels/tools/tests/test_tools.py	215	def test_pandas_const_df_prepend():	CODE
LOW	statsmodels/tools/tests/test_testing.py	11	def check_params_table_classes(attribute, bunch_type):	CODE
LOW	statsmodels/tools/validation/tests/test_validation.py	122	def test_right_squeeze_and_pad(self):	CODE
LOW	statsmodels/tools/validation/tests/test_validation.py	239	def test_wrap_pandas_append_non_string():	CODE
922 more matches not shown…

Cross-Language Confusion196 hits · 891 pts

Severity	File	Line	Snippet	Context
HIGH	statsmodels/tools/grouputils.py	432	if not test.index.equals(test_sorted.index):	CODE
HIGH	statsmodels/tools/tests/test_grouputils.py	36	assert not index.equals(self.grouping.index)	CODE
HIGH	statsmodels/tools/tests/test_grouputils.py	40	assert not sorted_data.equals(self.data)	CODE
HIGH	statsmodels/tools/tests/test_grouputils.py	55	assert not sorted_data.equals(series)	CODE
HIGH	statsmodels/datasets/utils.py	106	if data.index.equals(Index(lrange(1, len(data) + 1))):	CODE
HIGH	statsmodels/imputation/mice.py	311	ix_obs = np.flatnonzero(~null)	STRING
HIGH	statsmodels/imputation/mice.py	312	ix_miss = np.flatnonzero(null)	STRING
HIGH	statsmodels/genmod/generalized_linear_model.py	2032	self._endog, self.null, self._var_weights, self._freq_weights	CODE
HIGH	statsmodels/genmod/generalized_linear_model.py	2042	self.null,	CODE
HIGH	statsmodels/genmod/tests/test_glm.py	1067	assert_allclose(mod1.null, mod2.null, rtol=1e-10)	STRING
HIGH⚡	statsmodels/tsa/statespace/tools.py	361	if s.columns.equals(pd.Index([None])):	STRING
HIGH⚡	statsmodels/tsa/statespace/tools.py	367	if axis == 0 and not base_columns.equals(s_columns):	STRING
HIGH⚡	statsmodels/tsa/statespace/tools.py	370	elif axis == 1 and not series[0].index.equals(s.index):	STRING
HIGH	statsmodels/tsa/statespace/dynamic_factor_mq.py	1359	endog_mean.index.equals(pd.Index(endog_names))):	STRING
HIGH	statsmodels/tsa/statespace/dynamic_factor_mq.py	1366	endog_std.index.equals(pd.Index(endog_names))):	STRING
HIGH	statsmodels/tsa/statespace/mlemodel.py	74	if given_index is not None and not desired_index.equals(given_index):	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_simulate.py	1905	assert_(actual.columns.equals(desired.columns))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_simulate.py	1915	assert_(actual.index.equals(desired.index))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_simulate.py	1916	assert_(actual.columns.equals(desired.columns))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_simulate.py	1957	assert_(actual.columns.equals(desired.columns))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_simulate.py	1967	assert_(actual.index.equals(desired.index))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_simulate.py	1968	assert_(actual.columns.equals(desired.columns))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_simulate.py	2019	assert_(actual.index.equals(desired.index))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_simulate.py	2020	assert_(actual.columns.equals(desired.columns))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_simulate.py	2093	assert_(actual.index.equals(desired.index))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_simulate.py	2100	assert_(actual.index.equals(desired.index))	CODE
HIGH	statsmodels/tsa/statespace/tests/test_simulate.py	1889	assert_(actual.index.equals(desired.index))	CODE
HIGH	statsmodels/tsa/statespace/tests/test_simulate.py	1931	assert_(actual.index.equals(desired.index))	CODE
HIGH	statsmodels/tsa/statespace/tests/test_simulate.py	1989	assert_(actual.index.equals(desired.index))	CODE
HIGH	statsmodels/tsa/statespace/tests/test_simulate.py	2005	assert_(actual.columns.equals(desired.columns))	CODE
HIGH	statsmodels/tsa/statespace/tests/test_simulate.py	2042	assert_(actual.index.equals(desired.index))	CODE
HIGH	statsmodels/tsa/statespace/tests/test_simulate.py	2059	assert_(actual.columns.equals(desired.columns))	CODE
HIGH	statsmodels/tsa/statespace/tests/test_simulate.py	2073	assert_(actual.index.equals(desired.index))	CODE
HIGH	statsmodels/tsa/statespace/tests/test_simulate.py	2074	assert_(actual.columns.equals(desired.columns))	CODE
HIGH⚡	…smodels/tsa/statespace/tests/test_impulse_responses.py	860	assert_(actual.index.equals(desired.index))	CODE
HIGH⚡	…smodels/tsa/statespace/tests/test_impulse_responses.py	873	assert_(actual.index.equals(desired.index))	CODE
HIGH⚡	…smodels/tsa/statespace/tests/test_impulse_responses.py	885	assert_(actual.index.equals(desired.index))	CODE
HIGH⚡	…smodels/tsa/statespace/tests/test_impulse_responses.py	898	assert_(actual.index.equals(desired.index))	CODE
HIGH	…smodels/tsa/statespace/tests/test_impulse_responses.py	913	assert_(actual.index.equals(desired.index))	CODE
HIGH	…smodels/tsa/statespace/tests/test_impulse_responses.py	918	assert_(actual.index.equals(desired.index))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_sarimax.py	2811	assert_(mod._index.equals(endog.index[1:]))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_sarimax.py	2819	assert_(mod._index.equals(endog.index[1:]))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_sarimax.py	2829	assert_(mod._index.equals(endog.index[1:]))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_sarimax.py	2841	assert_(mod._index.equals(pd.RangeIndex(start=0, stop=len(values) - 1)))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_sarimax.py	2842	assert_(mod.data.row_labels.equals(index[1:]))	CODE
HIGH	statsmodels/tsa/statespace/tests/test_sarimax.py	2156	assert_equal(out.index.equals(pd.Index(["a"])), True)	CODE
HIGH⚡	…smodels/tsa/statespace/tests/test_dynamic_factor_mq.py	1601	assert_(mod._index.equals(mod_base._index))	CODE
HIGH⚡	…smodels/tsa/statespace/tests/test_dynamic_factor_mq.py	1608	assert_(mod._index.equals(mod_base._index))	CODE
HIGH⚡	…smodels/tsa/statespace/tests/test_dynamic_factor_mq.py	1615	assert_(mod._index.equals(mod_base._index))	CODE
HIGH	…smodels/tsa/statespace/tests/test_dynamic_factor_mq.py	1690	assert_(actual.index.equals(desired.index))	CODE
HIGH	…smodels/tsa/statespace/tests/test_dynamic_factor_mq.py	1691	assert_(actual.columns.equals(desired.columns))	CODE
HIGH	…smodels/tsa/statespace/tests/test_dynamic_factor_mq.py	1706	assert_(actual.index.equals(desired.index))	CODE
HIGH	…smodels/tsa/statespace/tests/test_dynamic_factor_mq.py	1724	assert_(actual.index.equals(desired.index))	CODE
HIGH	…smodels/tsa/statespace/tests/test_dynamic_factor_mq.py	1725	assert_(actual.columns.equals(desired.columns))	CODE
HIGH	statsmodels/tsa/statespace/tests/test_varmax.py	963	assert out.index.equals(pd.Index(["a"]))	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_mlemodel.py	1247	assert states.predicted.index.equals(predicted_ix)	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_mlemodel.py	1248	assert states.predicted.columns.equals(cols)	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_mlemodel.py	1250	assert states.predicted_cov.index.equals(predicted_cov_ix)	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_mlemodel.py	1251	assert states.predicted.columns.equals(cols)	CODE
HIGH⚡	statsmodels/tsa/statespace/tests/test_mlemodel.py	1254	assert states.filtered.index.equals(ix)	CODE
136 more matches not shown…

Unused Imports909 hits · 784 pts

Severity	File	Line	Context
LOW	docs/source/conf.py	62	CODE
LOW	examples/python/statespace_local_linear_trend.py	59	CODE
LOW	examples/python/statespace_local_linear_trend.py	182	CODE
LOW	examples/python/statespace_local_linear_trend.py	183	CODE
LOW	examples/python/statespace_local_linear_trend.py	185	CODE
LOW	examples/python/tsa_dates.py	18	CODE
LOW	examples/python/tsa_dates.py	34	CODE
LOW	examples/python/statespace_fixed_params.py	25	CODE
LOW	examples/python/statespace_fixed_params.py	28	CODE
LOW	examples/python/statespace_varmax.py	24	CODE
LOW	examples/python/statespace_varmax.py	25	CODE
LOW	examples/python/contrasts.py	16	CODE
LOW	examples/python/treatment_effect.py	44	CODE
LOW	examples/python/statespace_structural_harvey_jaeger.py	35	CODE
LOW	examples/python/statespace_structural_harvey_jaeger.py	39	CODE
LOW	examples/python/statespace_structural_harvey_jaeger.py	39	CODE
LOW	examples/python/postestimation_poisson.py	63	CODE
LOW	examples/python/postestimation_poisson.py	64	CODE
LOW	examples/python/postestimation_poisson.py	68	CODE
LOW	examples/python/interactions_anova.py	21	CODE
LOW	examples/python/statespace_tvpvar_mcmc_cfa.py	15	CODE
LOW	examples/python/count_hurdle.py	56	CODE
LOW	examples/python/count_hurdle.py	57	CODE
LOW	examples/python/count_hurdle.py	58	CODE
LOW	examples/python/count_hurdle.py	58	CODE
LOW	examples/python/count_hurdle.py	58	CODE
LOW	examples/python/count_hurdle.py	63	CODE
LOW	examples/python/count_hurdle.py	63	CODE
LOW	examples/python/count_hurdle.py	63	CODE
LOW	examples/python/count_hurdle.py	69	CODE
LOW	examples/python/count_hurdle.py	69	CODE
LOW	examples/python/count_hurdle.py	69	CODE
LOW	examples/python/discrete_choice_overview.py	15	CODE
LOW	examples/python/multivariate_ls.py	41	CODE
LOW	examples/python/multivariate_ls.py	45	CODE
LOW	examples/python/multivariate_ls.py	46	CODE
LOW	examples/python/mixed_lm_example.py	16	CODE
LOW	examples/python/statespace_forecasting.py	27	CODE
LOW	examples/python/mstl_decomposition.py	52	CODE
LOW	examples/python/mstl_decomposition.py	60	CODE
LOW	examples/python/statespace_sarimax_pymc3.py	91	CODE
LOW	examples/python/stationarity_detrending_adf_kpss.py	28	CODE
LOW	examples/python/stationarity_detrending_adf_kpss.py	29	CODE
LOW	examples/python/statespace_custom_models.py	758	CODE
LOW	examples/python/stats_poisson.py	35	CODE
LOW	examples/python/stats_poisson.py	36	CODE
LOW	examples/python/stats_poisson.py	37	CODE
LOW	examples/python/stats_poisson.py	38	CODE
LOW	examples/python/statespace_concentrated_scale.py	16	CODE
LOW	examples/python/metaanalysis1.py	45	CODE
LOW	examples/python/metaanalysis1.py	45	CODE
LOW	examples/python/metaanalysis1.py	47	CODE
LOW	examples/python/metaanalysis1.py	50	CODE
LOW	examples/python/metaanalysis1.py	50	CODE
LOW	examples/python/metaanalysis1.py	50	CODE
LOW	examples/python/statespace_sarimax_stata.py	46	CODE
LOW	examples/python/markov_autoregression.py	26	CODE
LOW	examples/python/statespace_cycles.py	35	CODE
LOW	examples/python/statespace_cycles.py	36	CODE
LOW	examples/python/rolling_ls.py	30	CODE
849 more matches not shown…

Over-Commented Block619 hits · 593 pts

Severity	File	Line	Snippet	Context
LOW	tools/R2nparray/R/R2nparray-package.R	1	#' R2nparray	COMMENT
LOW	tools/R2nparray/R/R2nparray.R	1	#' Print R object contents to python expression	COMMENT
LOW	tools/R2nparray/R/R2nparray.R	161	}	COMMENT
LOW	tools/R2nparray/R/R2nparray.R	201	#SUR <- systemfit(inv ~ value + capital, method='SUR',data=panel)	COMMENT
LOW	tools/R2nparray/R/R2nparray.R	221	#equations = SUR[["eq"]]	COMMENT
LOW	docs/source/conf.py	1	#	COMMENT
LOW	docs/source/conf.py	141		COMMENT
LOW	docs/source/conf.py	241	# The name for this set of Sphinx documents. If None, it defaults to	COMMENT
LOW	docs/source/conf.py	281	# html_additional_pages = {}	COMMENT
LOW	docs/source/conf.py	301	# If true, an OpenSearch description file will be output, and all pages will	COMMENT
LOW	docs/source/conf.py	341	# If true, show page references after internal links.	COMMENT
LOW	docs/source/conf.py	381	epub_copyright = (	COMMENT
LOW	docs/source/conf.py	401	# The format is a list of tuples containing the path and title.	COMMENT
LOW	examples/python/statespace_local_linear_trend.py	1	#!/usr/bin/env python	COMMENT
LOW	examples/python/statespace_local_linear_trend.py	21	# $$	COMMENT
LOW	examples/python/statespace_local_linear_trend.py	41	#	COMMENT
LOW	examples/python/statespace_local_linear_trend.py	61	# To take advantage of the existing infrastructure, including Kalman	COMMENT
LOW	examples/python/statespace_local_linear_trend.py	81	# statespace matrices.	COMMENT
LOW	examples/python/statespace_local_linear_trend.py	101	# the model is stationary (e.g. an ARMA model), `initialize_stationary` can	COMMENT
LOW	examples/python/statespace_local_linear_trend.py	261	# Durbin, James, and Siem Jan Koopman. 2012.	COMMENT
LOW	examples/python/stl_decomposition.py	1	#!/usr/bin/env python	COMMENT
LOW	examples/python/lowess.py	1	#!/usr/bin/env python	COMMENT
LOW	examples/python/formulas.py	1	#!/usr/bin/env python	COMMENT
LOW	examples/python/formulas.py	61	#	COMMENT
LOW	examples/python/formulas.py	81		COMMENT
LOW	examples/python/formulas.py	101		COMMENT
LOW	examples/python/pca_fertility_factors.py	1	#!/usr/bin/env python	COMMENT
LOW	examples/python/pca_fertility_factors.py	81		COMMENT
LOW	examples/python/exponential_smoothing.py	1	#!/usr/bin/env python	COMMENT
LOW	examples/python/exponential_smoothing.py	301	"Figure 7.5: Forecasting livestock, sheep in Asia: comparing forecasting performance of non-seasonal methods."	COMMENT
LOW	examples/python/exponential_smoothing.py	461	states1[["seasonal"]].plot(ax=ax3)	COMMENT
LOW	examples/python/glm.py	21	plt.rc("font", size=14)	COMMENT
LOW	examples/python/statespace_fixed_params.py	1	#!/usr/bin/env python	COMMENT
LOW	examples/python/statespace_fixed_params.py	41	# It is well known (e.g. Harvey and Jaeger [1993]) that the HP filter	COMMENT
LOW	examples/python/statespace_fixed_params.py	61	# \begin{aligned}	COMMENT
LOW	examples/python/statespace_fixed_params.py	81	# The parameters of the unobserved components model (UCM) are written as:	COMMENT
LOW	examples/python/statespace_fixed_params.py	121	# However, unobserved components models are more flexible than the HP	COMMENT
LOW	examples/python/statespace_fixed_params.py	141		COMMENT
LOW	examples/python/glm_weights.py	61	np.bincount(data["affairs"].astype(int))	COMMENT
LOW	examples/python/glm_weights.py	121		COMMENT
LOW	examples/python/glm_weights.py	201	# ``df_resid``.	COMMENT
LOW	examples/python/glm_weights.py	261	#	COMMENT
LOW	examples/python/glm_weights.py	301	pd.DataFrame(	COMMENT
LOW	examples/python/statespace_varmax.py	1	#!/usr/bin/env python	COMMENT
LOW	examples/python/statespace_varmax.py	61	# argument).	COMMENT
LOW	examples/python/autoregressive_distributed_lag.py	1	#!/usr/bin/env python	COMMENT
LOW	examples/python/autoregressive_distributed_lag.py	21	# the endogenous variable and the exogenous variables. ARDL models are also	COMMENT
LOW	examples/python/autoregressive_distributed_lag.py	41	#	COMMENT
LOW	examples/python/autoregressive_distributed_lag.py	61	import seaborn as sns	COMMENT
LOW	examples/python/autoregressive_distributed_lag.py	121	# `model` on `sel_res` contains the model `ARDL` specification which can be	COMMENT
LOW	examples/python/autoregressive_distributed_lag.py	161	# 0. The selected AR lags vary more, although all of the best specifications	COMMENT
LOW	examples/python/autoregressive_distributed_lag.py	181	# would match the specification below if a NumPy array was used.	COMMENT
LOW	examples/python/autoregressive_distributed_lag.py	221	data[["lry", "ibo", "ide"]],	COMMENT
LOW	examples/python/autoregressive_distributed_lag.py	241	# + \underset{\text{Autoregressive}}{\underbrace{\sum_{p=1}^P \phi_p	COMMENT
LOW	examples/python/autoregressive_distributed_lag.py	421	# integration in the $X$ variables. If it is above the upper bound, then	COMMENT
LOW	examples/python/autoregressive_distributed_lag.py	441	# 5. Constant and trend included in the model, neither included in the	COMMENT
LOW	examples/python/plots_boxplots.py	1	#!/usr/bin/env python	COMMENT
LOW	examples/python/contrasts.py	1	#!/usr/bin/env python	COMMENT
LOW	examples/python/contrasts.py	21	# A categorical variable of K categories, or levels, usually enters a	COMMENT
LOW	examples/python/kernel_density.py	1	#!/usr/bin/env python	COMMENT
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Cross-File Repetition102 hits · 510 pts

Severity	File	Line	Snippet	Context
HIGH	statsmodels/nonparametric/kernel_regression.py	0	multivariate conditional and unconditional kernel density estimation with mixed data types. references ---------- [1] ra	STRING
HIGH	statsmodels/sandbox/nonparametric/kernel_extras.py	0	multivariate conditional and unconditional kernel density estimation with mixed data types. references ---------- [1] ra	STRING
HIGH	statsmodels/nonparametric/kernel_density.py	0	multivariate conditional and unconditional kernel density estimation with mixed data types. references ---------- [1] ra	STRING
HIGH	statsmodels/discrete/discrete_model.py	0	derivative of the expected endog with respect to the parameters. not verified yet parameters ---------- params : ndarray	STRING
HIGH	statsmodels/discrete/count_model.py	0	derivative of the expected endog with respect to the parameters. not verified yet parameters ---------- params : ndarray	STRING
HIGH	statsmodels/genmod/generalized_linear_model.py	0	derivative of the expected endog with respect to the parameters. not verified yet parameters ---------- params : ndarray	STRING
HIGH	statsmodels/othermod/betareg.py	0	derivative of the expected endog with respect to the parameters. not verified yet parameters ---------- params : ndarray	STRING
HIGH	statsmodels/discrete/discrete_model.py	0	derivative of score_obs w.r.t. endog parameters ---------- params : ndarray parameter at which score is evaluated return	STRING
HIGH	statsmodels/discrete/count_model.py	0	derivative of score_obs w.r.t. endog parameters ---------- params : ndarray parameter at which score is evaluated return	STRING
HIGH	statsmodels/othermod/betareg.py	0	derivative of score_obs w.r.t. endog parameters ---------- params : ndarray parameter at which score is evaluated return	STRING
HIGH	statsmodels/discrete/discrete_model.py	0	likelihood ratio chi-squared statistic; `-2*(llnull - llf)`	STRING
HIGH	statsmodels/miscmodels/ordinal_model.py	0	likelihood ratio chi-squared statistic; `-2*(llnull - llf)`	STRING
HIGH	statsmodels/base/model.py	0	likelihood ratio chi-squared statistic; `-2*(llnull - llf)`	STRING
HIGH	statsmodels/discrete/discrete_model.py	0	the chi-squared probability of getting a log-likelihood ratio statistic greater than llr. llr has a chi-squared distribu	STRING
HIGH	statsmodels/miscmodels/ordinal_model.py	0	the chi-squared probability of getting a log-likelihood ratio statistic greater than llr. llr has a chi-squared distribu	STRING
HIGH	statsmodels/base/model.py	0	the chi-squared probability of getting a log-likelihood ratio statistic greater than llr. llr has a chi-squared distribu	STRING
HIGH	statsmodels/discrete/conditional_models.py	0	summarize the proportional hazards regression results. parameters ---------- yname : str, optional default is `y` xname	STRING
HIGH	statsmodels/sandbox/regression/gmm.py	0	summarize the proportional hazards regression results. parameters ---------- yname : str, optional default is `y` xname	STRING
HIGH	statsmodels/genmod/qif.py	0	summarize the proportional hazards regression results. parameters ---------- yname : str, optional default is `y` xname	STRING
HIGH	statsmodels/genmod/generalized_linear_model.py	0	summarize the proportional hazards regression results. parameters ---------- yname : str, optional default is `y` xname	STRING
HIGH	statsmodels/regression/quantile_regression.py	0	summarize the proportional hazards regression results. parameters ---------- yname : str, optional default is `y` xname	STRING
HIGH	statsmodels/duration/hazard_regression.py	0	summarize the proportional hazards regression results. parameters ---------- yname : str, optional default is `y` xname	STRING
HIGH	statsmodels/base/model.py	0	summarize the proportional hazards regression results. parameters ---------- yname : str, optional default is `y` xname	STRING
HIGH	statsmodels/datasets/template_data.py	0	load the nile data and return a dataset class instance. returns ------- dataset see dataset_proposal.txt for more inform	STRING
HIGH	statsmodels/datasets/engel/data.py	0	load the nile data and return a dataset class instance. returns ------- dataset see dataset_proposal.txt for more inform	STRING
HIGH	statsmodels/datasets/heart/data.py	0	load the nile data and return a dataset class instance. returns ------- dataset see dataset_proposal.txt for more inform	STRING
HIGH	statsmodels/datasets/fertility/data.py	0	load the nile data and return a dataset class instance. returns ------- dataset see dataset_proposal.txt for more inform	STRING
HIGH	statsmodels/datasets/cancer/data.py	0	load the nile data and return a dataset class instance. returns ------- dataset see dataset_proposal.txt for more inform	STRING
HIGH	statsmodels/datasets/fair/data.py	0	load the nile data and return a dataset class instance. returns ------- dataset see dataset_proposal.txt for more inform	STRING
HIGH	statsmodels/datasets/co2/data.py	0	load the nile data and return a dataset class instance. returns ------- dataset see dataset_proposal.txt for more inform	STRING
HIGH	statsmodels/datasets/strikes/data.py	0	load the nile data and return a dataset class instance. returns ------- dataset see dataset_proposal.txt for more inform	STRING
HIGH	statsmodels/datasets/statecrime/data.py	0	load the nile data and return a dataset class instance. returns ------- dataset see dataset_proposal.txt for more inform	STRING
HIGH	statsmodels/datasets/modechoice/data.py	0	load the nile data and return a dataset class instance. returns ------- dataset see dataset_proposal.txt for more inform	STRING
HIGH	statsmodels/datasets/nile/data.py	0	load the nile data and return a dataset class instance. returns ------- dataset see dataset_proposal.txt for more inform	STRING
HIGH	statsmodels/datasets/committee/data.py	0	used with express permission from the original author, who retains all rights.	STRING
HIGH	statsmodels/datasets/cpunish/data.py	0	used with express permission from the original author, who retains all rights.	STRING
HIGH	statsmodels/datasets/copper/data.py	0	used with express permission from the original author, who retains all rights.	STRING
HIGH	statsmodels/datasets/star98/data.py	0	used with express permission from the original author, who retains all rights.	STRING
HIGH	statsmodels/datasets/scotland/data.py	0	used with express permission from the original author, who retains all rights.	STRING
HIGH	statsmodels/datasets/committee/data.py	0	load the copper data and returns a dataset class. returns ------- dataset see dataset_proposal.txt for more information.	STRING
HIGH	statsmodels/datasets/anes96/data.py	0	load the copper data and returns a dataset class. returns ------- dataset see dataset_proposal.txt for more information.	STRING
HIGH	statsmodels/datasets/copper/data.py	0	load the copper data and returns a dataset class. returns ------- dataset see dataset_proposal.txt for more information.	STRING
HIGH	statsmodels/datasets/cpunish/data.py	0	jeff gill's `generalized linear models: a unified approach` http://jgill.wustl.edu/research/books.html	STRING
HIGH	statsmodels/datasets/copper/data.py	0	jeff gill's `generalized linear models: a unified approach` http://jgill.wustl.edu/research/books.html	STRING
HIGH	statsmodels/datasets/star98/data.py	0	jeff gill's `generalized linear models: a unified approach` http://jgill.wustl.edu/research/books.html	STRING
HIGH	statsmodels/datasets/scotland/data.py	0	jeff gill's `generalized linear models: a unified approach` http://jgill.wustl.edu/research/books.html	STRING
HIGH	statsmodels/miscmodels/count.py	0	maximum likelihood estimation of poisson model this is an example for generic mle which has the same statistical model a	STRING
HIGH	statsmodels/examples/ex_generic_mle_t.py	0	maximum likelihood estimation of poisson model this is an example for generic mle which has the same statistical model a	STRING
HIGH	statsmodels/examples/ex_generic_mle_tdist.py	0	maximum likelihood estimation of poisson model this is an example for generic mle which has the same statistical model a	STRING
HIGH	statsmodels/miscmodels/count.py	0	loglikelihood of poisson model parameters ---------- params : array_like the parameters of the model. returns ------- th	STRING
HIGH	statsmodels/examples/ex_generic_mle_tdist.py	0	loglikelihood of poisson model parameters ---------- params : array_like the parameters of the model. returns ------- th	STRING
HIGH	statsmodels/examples/ex_generic_mle_t.py	0	loglikelihood of poisson model parameters ---------- params : array_like the parameters of the model. returns ------- th	STRING
HIGH	statsmodels/sandbox/examples/ex_mixed_lls_0.py	0	if z is not included in x: >>> np.dot(b_re.t, b_re)/100 array([[ 0.03270611, -0.00916051], [-0.00916051, 0.26432783]]) >	STRING
HIGH	statsmodels/sandbox/examples/ex_mixed_lls_timecorr.py	0	if z is not included in x: >>> np.dot(b_re.t, b_re)/100 array([[ 0.03270611, -0.00916051], [-0.00916051, 0.26432783]]) >	STRING
HIGH	statsmodels/sandbox/examples/ex_mixed_lls_re.py	0	if z is not included in x: >>> np.dot(b_re.t, b_re)/100 array([[ 0.03270611, -0.00916051], [-0.00916051, 0.26432783]]) >	STRING
HIGH	statsmodels/sandbox/distributions/extras.py	0	class to hold quadratic function with inverse function and derivative using instance methods instead of class methods, i	STRING
HIGH	…atsmodels/sandbox/distributions/transform_functions.py	0	class to hold quadratic function with inverse function and derivative using instance methods instead of class methods, i	STRING
HIGH	statsmodels/sandbox/distributions/transformed.py	0	class to hold quadratic function with inverse function and derivative using instance methods instead of class methods, i	STRING
HIGH	statsmodels/examples/ex_kernel_semilinear_dgp.py	0	created on sun jan 06 09:50:54 2013 author: josef perktold	STRING
HIGH	statsmodels/examples/ex_kernel_singleindex_dgp.py	0	created on sun jan 06 09:50:54 2013 author: josef perktold	STRING
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AI Slop Vocabulary180 hits · 452 pts

Severity	File	Line	Snippet	Context
MEDIUM	examples/python/stl_decomposition.py	71	# Setting `robust` uses a data-dependent weighting function that re-	COMMENT
MEDIUM	examples/python/stl_decomposition.py	73	# robust estimation allows the model to tolerate larger errors that are	COMMENT
MEDIUM	examples/python/stl_decomposition.py	85	# Next, we estimate the model with and without robust weighting. The	COMMENT
MEDIUM	examples/python/stl_decomposition.py	87	# 2008. The non-robust estimate places equal weights on all observations and	COMMENT
LOW	examples/python/formulas.py	36	# Alternatively, you can just use the `formula` namespace of the main	COMMENT
MEDIUM	examples/python/treatment_effect.py	115	# The doubly robust estimators `aipw`, `aipw-wls`, `ipw-ra` include both	COMMENT
MEDIUM	examples/python/treatment_effect.py	158	# `ipw` for example regression adjustment `ra` and double robust `ipw_ra`.	COMMENT
LOW	examples/python/statespace_news.py	125	# just call the `forecast` method with the number of forecasts you want to	COMMENT
LOW	examples/python/statespace_news.py	511	# For the updated dataset, we'll just add in the	COMMENT
LOW	examples/python/statespace_news.py	633	# just call the `summary_details` method directly.	COMMENT
MEDIUM	examples/python/gee_score_test_simulation.py	14	# This notebook uses simulation to demonstrate robust GEE score tests.	COMMENT
MEDIUM	examples/python/gee_score_test_simulation.py	16	# about the mean structure. The tests are robust to miss-specification of	COMMENT
MEDIUM	examples/python/gee_score_test_simulation.py	90	# The GEE score test is robust to dependence and overdispersion. Here we	COMMENT
MEDIUM	examples/python/statespace_dfm_coincident.py	360	# facilitate comparison	COMMENT
MEDIUM	examples/python/robust_models_0.py	59	# See ``help(sm.RLM.fit)`` for more options and ``module sm.robust.scale``	COMMENT
MEDIUM	examples/python/robust_models_0.py	98	# Draw a plot to compare OLS estimates to the robust estimates:	COMMENT
MEDIUM	examples/python/robust_models_0.py	135	# Draw a plot to compare OLS estimates to the robust estimates:	COMMENT
MEDIUM	examples/python/postestimation_poisson.py	100	# form which is robust to unspecified heteroscedasticity or serial or	COMMENT
MEDIUM⚡	examples/python/postestimation_poisson.py	134	# correlation robust covariance type.	COMMENT
MEDIUM⚡	examples/python/postestimation_poisson.py	135	# It currently uses the same implementation and defaults for the robust	COMMENT
MEDIUM⚡	examples/python/postestimation_poisson.py	143	# corrections for heteroscedasticity and correlation robust score tests.	COMMENT
MEDIUM	examples/python/postestimation_poisson.py	386	# generalized leverage instead of the diagonal of the hat matrix in linear	COMMENT
MEDIUM	examples/python/linear_regression_diagnostics_plots.py	52	# d. leverage	COMMENT
MEDIUM	examples/python/linear_regression_diagnostics_plots.py	465	# A high leverage guideline can also be displayed using the convention:	COMMENT
LOW	examples/python/statespace_tvpvar_mcmc_cfa.py	480	# so we just pass an empty list)	COMMENT
LOW	examples/python/statespace_tvpvar_mcmc_cfa.py	658	# models. Here we'll just use the [arviz](https://arviz-	COMMENT
MEDIUM	examples/python/robust_models_1.py	29	# * The robust estimates $\hat{\beta}$ are computed by the iteratively re-	COMMENT
MEDIUM⚡	examples/python/robust_models_1.py	142	# * The mean is not a robust estimator of location	COMMENT
MEDIUM⚡	examples/python/robust_models_1.py	148	# * The median, on the other hand, is a robust estimator with a breakdown	COMMENT
MEDIUM⚡	examples/python/robust_models_1.py	156	# * The standard deviation is not robust	COMMENT
MEDIUM	examples/python/robust_models_1.py	189	# Another robust estimator of scale is the Interquartile Range (IQR)	COMMENT
MEDIUM	examples/python/robust_models_1.py	204	# The IQR is less robust than the MAD in the sense that it has a lower	COMMENT
MEDIUM	examples/python/robust_models_1.py	210	# Yet another robust estimator of scale is the $Q_n$ estimator, introduced	COMMENT
MEDIUM	examples/python/robust_models_1.py	372	# * Why? Because M-estimators are not robust to leverage points.	COMMENT
MEDIUM	examples/python/robust_models_1.py	372	# * Why? Because M-estimators are not robust to leverage points.	COMMENT
MEDIUM⚡	examples/python/influence_glm_logit.py	69	# and large Cook's distance, but not a large leverage. Observation 13 has	COMMENT
MEDIUM⚡	examples/python/influence_glm_logit.py	70	# the largest leverage but only small Cook's distance and not a large	COMMENT
MEDIUM	examples/python/mstl_decomposition.py	33	# (e.g., `robust`, `seasonal_deg`, etc.). See [STL docs](https://www.statsmo	COMMENT
MEDIUM	examples/python/regression_plots.py	49	# leverage of each observation as measured by the hat matrix.	COMMENT
MEDIUM⚡	examples/python/regression_plots.py	76	# and reporter have low leverage but a large residual. <br />	COMMENT
MEDIUM⚡	examples/python/regression_plots.py	77	# RR.engineer has small residual and large leverage. Conductor and	COMMENT
MEDIUM⚡	examples/python/regression_plots.py	78	# minister have both high leverage and large residuals, and, <br />	COMMENT
MEDIUM	examples/python/regression_plots.py	248	# Closely related to the influence_plot is the leverage-resid<sup>2</sup>	COMMENT
MEDIUM⚡	examples/python/regression_plots.py	263	# ### Using robust regression to correct for outliers.	COMMENT
MEDIUM⚡	examples/python/regression_plots.py	266	# M-estimators are not robust to leverage points. MM-estimators should do	COMMENT
MEDIUM⚡	examples/python/regression_plots.py	266	# M-estimators are not robust to leverage points. MM-estimators should do	COMMENT
MEDIUM	examples/python/regression_plots.py	281	# data=dta, M=sm.robust.norms.TukeyBiweight()).fit(conv="weights")	COMMENT
MEDIUM	examples/python/regression_diagnostics.py	119	# Useful information on leverage can also be plotted:	COMMENT
MEDIUM	examples/python/rolling_ls.py	131	# estimator) and `'HC0'` which is White's heteroskedasticity robust	COMMENT
MEDIUM	examples/incomplete/wls_extended.py	72	# compare with robust regression,	COMMENT
MEDIUM	examples/incomplete/wls_extended.py	226	# ..robust standard errors (with ols)	STRING
MEDIUM	statsmodels/robust/covariance.py	1	r"""robust location, scatter and covariance estimators	CODE
MEDIUM	statsmodels/robust/covariance.py	1061	"""Iterative robust covariance estimation using weights.	STRING
MEDIUM	statsmodels/robust/covariance.py	1150	"""compute some robust starting covariances	STRING
MEDIUM	statsmodels/robust/covariance.py	1289	# maybe also allow str func_scale for robust.scale, e.g. for not	COMMENT
MEDIUM	statsmodels/robust/covariance.py	1347	"""Starting sets for deterministic robust covariance estimators.	STRING
MEDIUM	statsmodels/robust/resistant_linear_model.py	76	# data for robust mahalanobis distance of starting sets	COMMENT
MEDIUM⚡	statsmodels/robust/tests/test_rlm.py	394	# than the robust scale estimate, so the recorded series did not match the	COMMENT
MEDIUM⚡	statsmodels/robust/tests/test_rlm.py	395	# robust scale recomputed from each iteration's parameters.	COMMENT
MEDIUM⚡	statsmodels/robust/tests/test_rlm.py	400	# psi=psi.huber, k=1.345, scale.est="MAD"): robust scale s = 2.4407	COMMENT
120 more matches not shown…

Self-Referential Comments158 hits · 376 pts

Severity	File	Line	Snippet	Context
MEDIUM	tools/releasing/release_note.py	143	# Create a What's New Dictionary to automatically populate the template	COMMENT
MEDIUM	docs/source/conf.py	5	# This file is execfile()d with the current directory set to its	COMMENT
MEDIUM	docs/source/plots/graphics_functional_rainbowplot.py	19	# Create a rainbow plot:	COMMENT
MEDIUM	docs/source/plots/graphics_functional_hdrboxplot.py	11	# Create a HDR functional boxplot. We see that the years 1982-83 and 1997-98 are	COMMENT
MEDIUM	docs/source/plots/graphics_plot_fit_ex.py	26	# Create a plot just for the variable 'Poverty':	COMMENT
MEDIUM	docs/source/plots/graphics_functional_fboxplot.py	19	# Create a functional boxplot. We see that the years 1982-83 and 1997-98 are	COMMENT
MEDIUM	examples/python/formulas.py	152	# Define a custom function:	COMMENT
MEDIUM	examples/python/plots_boxplots.py	134	# Create a violin plot.	COMMENT
MEDIUM	examples/python/plots_boxplots.py	155	# Create a bean plot.	COMMENT
MEDIUM	examples/python/plots_boxplots.py	176	# Create a jitter plot.	COMMENT
MEDIUM	examples/python/plots_boxplots.py	198	# Create an asymmetrical jitter plot.	COMMENT
MEDIUM⚡	examples/python/kernel_density.py	222	# Create a figure	COMMENT
MEDIUM⚡	examples/python/kernel_density.py	228	# Initialize the kernel object	COMMENT
MEDIUM⚡	examples/python/kernel_density.py	236	# Create a subplot, set the title	COMMENT
MEDIUM⚡	examples/python/kernel_density.py	257	# Create a figure	COMMENT
MEDIUM⚡	examples/python/kernel_density.py	263	# Create a subplot, set the title	COMMENT
MEDIUM⚡	examples/python/kernel_density.py	270	# Create the plot	COMMENT
MEDIUM	examples/python/statespace_news.py	124	# Creating the forecasts from the results object `res` is easy - you can	COMMENT
MEDIUM	examples/python/statespace_news.py	188	# Create a new results object by passing the new observations to the	COMMENT
MEDIUM	examples/python/statespace_news.py	583	# Create the news results	COMMENT
MEDIUM	examples/python/statespace_dfm_coincident.py	224	# Create the model	COMMENT
MEDIUM	examples/python/statespace_dfm_coincident.py	806	# Create the model	COMMENT
MEDIUM	examples/python/theta-model.py	65	# This module is based on:	COMMENT
MEDIUM	examples/python/statespace_tvpvar_mcmc_cfa.py	390	# Create a matrix with [y_t' : y_{t-1}'] for t = 2, ..., T	COMMENT
MEDIUM	examples/python/statespace_tvpvar_mcmc_cfa.py	443	# The above class defined the state space model for any given dataset. Now	COMMENT
MEDIUM	examples/python/statespace_tvpvar_mcmc_cfa.py	449	# Create an instance of our TVPVAR class with our observed dataset y	COMMENT
MEDIUM	examples/python/predict.py	52	# ## Create a new sample of explanatory variables Xnew, predict and plot	COMMENT
MEDIUM	examples/python/mstl_decomposition.py	72	# ### Create a toy dataset with multiple seasonalities	COMMENT
MEDIUM	examples/python/statespace_sarimax_pymc3.py	108	# Define the inflation series that we'll use in analysis	COMMENT
MEDIUM	examples/python/statespace_sarimax_pymc3.py	129	# Create an SARIMAX model instance - here we use it to estimate	COMMENT
MEDIUM	statsmodels/nonparametric/kernel_regression.py	219	# Create the matrix on p.492 in [7], after the multiplication w/ K_h,ij	COMMENT
MEDIUM	statsmodels/nonparametric/kernel_regression.py	692	# Create the matrix on p.492 in [7], after the multiplication w/ K_h,ij	COMMENT
MEDIUM	statsmodels/nonparametric/tests/test_lowess.py	233	# Create a curve that is easy to fit at first but gets	COMMENT
MEDIUM	statsmodels/datasets/utils.py	251	# The below function were taken from sklearn	COMMENT
MEDIUM	statsmodels/sandbox/panel/panelmod.py	171	# Initialize pandas objects.	COMMENT
MEDIUM	statsmodels/sandbox/stats/multicomp.py	1573	# Create the full d matrix given all known dij vals	COMMENT
MEDIUM	statsmodels/imputation/mice.py	586	# Create an indicator matrix for missing values.	STRING
MEDIUM	statsmodels/examples/example_functional_plots.py	20	# Create a functional boxplot:	COMMENT
MEDIUM	statsmodels/examples/example_functional_plots.py	40	# Create a rainbow plot:	COMMENT
MEDIUM	statsmodels/examples/example_enhanced_boxplots.py	25	# Create a violin plot.	COMMENT
MEDIUM	statsmodels/examples/example_enhanced_boxplots.py	46	# Create a bean plot.	COMMENT
MEDIUM	statsmodels/examples/example_enhanced_boxplots.py	67	# Create a jitter plot.	COMMENT
MEDIUM	statsmodels/examples/example_enhanced_boxplots.py	89	# Create an asymmetrical jitter plot.	COMMENT
MEDIUM	statsmodels/examples/l1_demo/demo.py	381	# Create the probability of entering the different classes,	STRING
MEDIUM	statsmodels/examples/l1_demo/demo.py	387	# Create the endog	STRING
MEDIUM	statsmodels/examples/l1_demo/demo.py	402	# Create the probability of entering the different classes,	STRING
MEDIUM	statsmodels/examples/l1_demo/demo.py	406	# Create the endog	STRING
MEDIUM	statsmodels/examples/l1_demo/demo.py	427	# Create the noiseless exog	STRING
MEDIUM	statsmodels/genmod/cov_struct.py	1440	# Create the pairs and order them	COMMENT
MEDIUM	…atsmodels/genmod/tests/gee_poisson_simulation_check.py	81	# Create an exog matrix so that E[Y] = log(dot(exog1, params))	COMMENT
MEDIUM	statsmodels/tsa/statespace/structural.py	556	# Create a bitmask holding the level/trend specification	STRING
MEDIUM	statsmodels/tsa/statespace/structural.py	565	# Create the trend specification, if it was not given	STRING
MEDIUM	statsmodels/tsa/statespace/structural.py	978	# Create the starting parameter list	STRING
MEDIUM	statsmodels/tsa/statespace/structural.py	1846	# Create the model name	STRING
MEDIUM	statsmodels/tsa/statespace/_pykalman_smoother.py	176	# Create a temporary matrix	COMMENT
MEDIUM	statsmodels/tsa/statespace/varmax.py	548	# Create the state covariance matrix	STRING
MEDIUM	statsmodels/tsa/statespace/varmax.py	625	# Create the state covariance matrix	STRING
MEDIUM	statsmodels/tsa/statespace/varmax.py	1099	# Create the model name	STRING
MEDIUM	statsmodels/tsa/statespace/varmax.py	1189	# Create the table	STRING
MEDIUM	statsmodels/tsa/statespace/dynamic_factor.py	1169	# Create the new axis	STRING
98 more matches not shown…

Decorative Section Separators113 hits · 318 pts

Severity	File	Line	Snippet	Context
MEDIUM	tools/R2nparray/R/R2nparray.R	169	#----------	COMMENT
MEDIUM	examples/python/mixed_lm_example.py	39	# =======================================	COMMENT
MEDIUM	examples/incomplete/wls_extended.py	50	# ----------------------------------------------------	COMMENT
MEDIUM	examples/incomplete/wls_extended.py	84	# ----------------------------------------------------	COMMENT
MEDIUM	examples/incomplete/wls_extended.py	149	# ---------------------------------------------------------------------------	COMMENT
MEDIUM	examples/incomplete/wls_extended.py	247	# --------------------------	COMMENT
MEDIUM	examples/incomplete/wls_extended.py	363	# -----------------------------------------------------------------	STRING
MEDIUM	examples/incomplete/dates.py	9	# ---------------	COMMENT
MEDIUM	examples/incomplete/dates.py	18	# ------------	COMMENT
MEDIUM	examples/incomplete/dates.py	32	# --------------------	COMMENT
MEDIUM	statsmodels/robust/tests/test_rlm.py	210	# --------------------------------------------------------------------	COMMENT
MEDIUM	statsmodels/tools/eval_measures.py	355	# ---------------------	COMMENT
MEDIUM	statsmodels/iolib/summary.py	178	# ------------------------------------	COMMENT
MEDIUM	statsmodels/iolib/summary.py	227	# -------------	COMMENT
MEDIUM	statsmodels/iolib/summary.py	232	# --------------	COMMENT
MEDIUM	statsmodels/iolib/summary.py	417	# ------------------------------------	COMMENT
MEDIUM	statsmodels/iolib/summary.py	504	# ------------------------------------	COMMENT
MEDIUM	statsmodels/sandbox/descstats.py	14	# ============================================	COMMENT
MEDIUM	statsmodels/sandbox/descstats.py	16	# ============================================	COMMENT
MEDIUM	statsmodels/sandbox/tools/try_mctools.py	52	# ----------------------	COMMENT
MEDIUM	statsmodels/sandbox/examples/ex_onewaygls.py	16	# --------------	COMMENT
MEDIUM	statsmodels/sandbox/examples/ex_onewaygls.py	25	# ----------------	COMMENT
MEDIUM	statsmodels/sandbox/examples/ex_onewaygls.py	191	# -----------------------	STRING
MEDIUM	statsmodels/sandbox/examples/try_gmm_other.py	67	# ----------------------------	COMMENT
MEDIUM	statsmodels/sandbox/examples/try_gmm_other.py	120	# -------------------------------------------------	COMMENT
MEDIUM	statsmodels/sandbox/examples/ex_cusum.py	20	# --------------	COMMENT
MEDIUM	statsmodels/sandbox/examples/ex_cusum.py	28	# ----------------	COMMENT
MEDIUM	statsmodels/sandbox/regression/ols_anova_original.py	327	# -------------------	STRING
MEDIUM	statsmodels/sandbox/regression/try_ols_anova.py	200	# ------------------------------	STRING
MEDIUM	statsmodels/sandbox/regression/try_ols_anova.py	246	# -------------------	STRING
MEDIUM	statsmodels/sandbox/regression/ar_panel.py	137	# ------------	COMMENT
MEDIUM	statsmodels/sandbox/regression/runmnl.py	236	# ------------------------------	COMMENT
MEDIUM	statsmodels/sandbox/regression/runmnl.py	309	# ----------------------	COMMENT
MEDIUM	statsmodels/sandbox/regression/tests/test_gmm.py	99	# -----------------	COMMENT
MEDIUM	statsmodels/sandbox/regression/tests/test_gmm.py	185	# -----------------	COMMENT
MEDIUM	statsmodels/sandbox/regression/tests/test_gmm.py	827	# ------------------	COMMENT
MEDIUM	statsmodels/sandbox/distributions/estimators.py	451	# -----------------------------	COMMENT
MEDIUM	statsmodels/sandbox/distributions/estimators.py	490	# ---------------------------	COMMENT
MEDIUM	statsmodels/sandbox/distributions/estimators.py	522	# ------------------------	COMMENT
MEDIUM	statsmodels/sandbox/distributions/estimators.py	664	# ===================================================	COMMENT
MEDIUM	statsmodels/sandbox/distributions/estimators.py	667	# -------------------------------	COMMENT
MEDIUM	statsmodels/sandbox/distributions/estimators.py	690	# --------------------------------------------------------	COMMENT
MEDIUM	statsmodels/sandbox/distributions/tests/test_transf.py	104	# -----------------------------	COMMENT
MEDIUM	statsmodels/sandbox/stats/multicomp.py	495	# ============================	COMMENT
MEDIUM	statsmodels/sandbox/stats/multicomp.py	499	# ============================	COMMENT
MEDIUM	statsmodels/sandbox/stats/multicomp.py	2016	# ------------	COMMENT
MEDIUM	statsmodels/examples/ex_regressionplots.py	20	# ---------------------------------------------	COMMENT
MEDIUM	statsmodels/examples/tut_ols_ancova.py	46	# -------------------------------------------	COMMENT
MEDIUM	statsmodels/tsa/statespace/tests/results/test_ucm.R	18	# ----------------------------------------------------------------------------	COMMENT
MEDIUM	statsmodels/tsa/statespace/tests/results/test_ucm.R	28	# ----------------------------------------------------------------------------	COMMENT
MEDIUM	statsmodels/tsa/statespace/tests/results/test_ucm.R	39	# ----------------------------------------------------------------------------	COMMENT
MEDIUM	statsmodels/tsa/statespace/tests/results/test_ucm.R	49	# ----------------------------------------------------------------------------	COMMENT
MEDIUM	statsmodels/tsa/statespace/tests/results/test_ucm.R	60	# ----------------------------------------------------------------------------	COMMENT
MEDIUM	statsmodels/tsa/statespace/tests/results/test_ucm.R	72	# ----------------------------------------------------------------------------	COMMENT
MEDIUM	statsmodels/tsa/statespace/tests/results/test_ucm.R	83	# ----------------------------------------------------------------------------	COMMENT
MEDIUM	statsmodels/tsa/statespace/tests/results/test_ucm.R	97	# ----------------------------------------------------------------------------	COMMENT
MEDIUM	statsmodels/tsa/statespace/tests/results/test_ucm.R	109	# ----------------------------------------------------------------------------	COMMENT
MEDIUM	statsmodels/tsa/statespace/tests/results/test_ucm.R	120	# ----------------------------------------------------------------------------	COMMENT
MEDIUM	statsmodels/tsa/statespace/tests/results/test_ucm.R	142	# ----------------------------------------------------------------------------	COMMENT
MEDIUM	statsmodels/tsa/statespace/tests/results/test_ucm.R	167	# ----------------------------------------------------------------------------	COMMENT
53 more matches not shown…

Deep Nesting284 hits · 280 pts

Severity	File	Line	Context
LOW	tools/validate_docstrings.py	738	CODE
LOW	tools/validate_docstrings.py	976	CODE
LOW	tools/validate_docstrings.py	1043	CODE
LOW	tools/validate_docstrings.py	372	CODE
LOW	tools/validate_docstrings.py	512	CODE
LOW	tools/export_notebooks_to_python.py	100	CODE
LOW	tools/releasing/enumerate-api.py	28	CODE
LOW	tools/releasing/enumerate-api.py	74	CODE
LOW	tools/releasing/enumerate-api.py	113	CODE
LOW	statsmodels/conftest.py	158	CODE
LOW	statsmodels/robust/covariance.py	578	CODE
LOW	statsmodels/robust/robust_linear_model.py	195	CODE
LOW	statsmodels/nonparametric/smoothers_lowess.py	14	CODE
LOW	statsmodels/tools/web.py	10	CODE
LOW	statsmodels/tools/rng_qrng.py	7	CODE
LOW	statsmodels/tools/tools.py	145	CODE
LOW	statsmodels/tools/docstring_helpers.py	19	CODE
LOW	statsmodels/tools/docstring_helpers.py	59	CODE
LOW	statsmodels/tools/docstring_helpers.py	61	CODE
LOW	statsmodels/tools/rootfinding.py	20	CODE
LOW	statsmodels/tools/docstring.py	279	CODE
LOW	statsmodels/tools/docstring.py	372	CODE
LOW	statsmodels/tools/docstring.py	488	CODE
LOW	statsmodels/tools/validation/validation.py	41	CODE
LOW	statsmodels/tools/validation/validation.py	292	CODE
LOW	statsmodels/tools/validation/validation.py	363	CODE
LOW	statsmodels/tools/validation/validation.py	192	CODE
LOW	statsmodels/compat/scipy.py	17	CODE
LOW	statsmodels/compat/_scipy_multivariate_t.py	361	CODE
LOW	statsmodels/compat/_scipy_multivariate_t.py	1114	CODE
LOW	statsmodels/multivariate/multivariate_ols.py	273	CODE
LOW	statsmodels/multivariate/multivariate_ols.py	438	CODE
LOW	statsmodels/multivariate/multivariate_ols.py	594	CODE
LOW	statsmodels/multivariate/manova.py	78	CODE
LOW	statsmodels/multivariate/pca.py	319	CODE
LOW	statsmodels/multivariate/factor.py	671	CODE
LOW	statsmodels/multivariate/factor_rotation/_wrappers.py	17	CODE
LOW	…tsmodels/multivariate/factor_rotation/_gpa_rotation.py	27	CODE
LOW	statsmodels/discrete/discrete_model.py	1806	CODE
LOW	statsmodels/discrete/discrete_model.py	2524	CODE
LOW	statsmodels/discrete/discrete_model.py	3966	CODE
LOW	statsmodels/discrete/discrete_model.py	4797	CODE
LOW	statsmodels/discrete/discrete_model.py	5116	CODE
LOW	statsmodels/discrete/conditional_models.py	614	CODE
LOW	statsmodels/discrete/discrete_margins.py	126	CODE
LOW	statsmodels/discrete/diagnostic.py	147	CODE
LOW	statsmodels/discrete/count_model.py	454	CODE
LOW	statsmodels/discrete/truncated_model.py	303	CODE
LOW	statsmodels/discrete/truncated_model.py	1223	CODE
LOW	statsmodels/datasets/utils.py	294	CODE
LOW	statsmodels/miscmodels/ordinal_model.py	120	CODE
LOW	statsmodels/iolib/summary.py	672	CODE
LOW	statsmodels/iolib/summary.py	717	CODE
LOW	statsmodels/iolib/table.py	91	CODE
LOW	statsmodels/iolib/table.py	309	CODE
LOW	statsmodels/iolib/table.py	409	CODE
LOW	statsmodels/iolib/foreign.py	13	CODE
LOW	statsmodels/gam/smooth_basis.py	131	CODE
LOW	statsmodels/sandbox/sysreg.py	167	CODE
LOW	statsmodels/sandbox/bspline.py	35	CODE
224 more matches not shown…

AI Structural Patterns254 hits · 246 pts

Severity	File	Line	Context
LOW	tools/nbgenerate.py	113	CODE
LOW	tools/nbgenerate.py	185	CODE
LOW	examples/python/statespace_sarimax_pymc3.py	222	CODE
LOW	examples/python/statespace_custom_models.py	784	CODE
LOW	statsmodels/robust/tools.py	160	CODE
LOW	statsmodels/robust/covariance.py	572	CODE
LOW	statsmodels/robust/covariance.py	422	CODE
LOW	statsmodels/robust/covariance.py	789	CODE
LOW	statsmodels/robust/covariance.py	909	CODE
LOW	statsmodels/robust/covariance.py	1146	CODE
LOW	statsmodels/robust/covariance.py	1475	CODE
LOW	statsmodels/robust/covariance.py	1602	CODE
LOW	statsmodels/robust/covariance.py	1716	CODE
LOW	statsmodels/robust/covariance.py	1973	CODE
LOW	statsmodels/robust/covariance.py	2181	CODE
LOW	statsmodels/robust/resistant_linear_model.py	104	CODE
LOW	statsmodels/robust/robust_linear_model.py	195	CODE
LOW	statsmodels/robust/scale.py	578	CODE
LOW	statsmodels/robust/scale.py	690	CODE
LOW	statsmodels/nonparametric/smoothers_lowess_old.py	122	CODE
LOW	statsmodels/nonparametric/kde.py	310	CODE
LOW	statsmodels/nonparametric/kde.py	451	CODE
LOW	statsmodels/nonparametric/kde.py	90	CODE
LOW	statsmodels/tools/rootfinding.py	20	CODE
LOW	statsmodels/tools/docstring.py	682	CODE
LOW	statsmodels/tools/_decorators.py	82	CODE
LOW	statsmodels/tools/validation/validation.py	41	CODE
LOW	statsmodels/compat/_scipy_multivariate_t.py	603	CODE
LOW	statsmodels/compat/_scipy_multivariate_t.py	650	CODE
LOW	statsmodels/multivariate/pca.py	198	CODE
LOW	statsmodels/multivariate/factor.py	116	CODE
LOW	statsmodels/discrete/discrete_model.py	276	CODE
LOW	statsmodels/discrete/discrete_model.py	608	CODE
LOW	statsmodels/discrete/discrete_model.py	647	CODE
LOW	statsmodels/discrete/discrete_model.py	898	CODE
LOW	statsmodels/discrete/discrete_model.py	1298	CODE
LOW	statsmodels/discrete/discrete_model.py	1528	CODE
LOW	statsmodels/discrete/discrete_model.py	2124	CODE
LOW	statsmodels/discrete/discrete_model.py	2199	CODE
LOW	statsmodels/discrete/discrete_model.py	4044	CODE
LOW	statsmodels/discrete/discrete_model.py	4127	CODE
LOW	statsmodels/discrete/discrete_model.py	4646	CODE
LOW	statsmodels/discrete/discrete_model.py	4728	CODE
LOW	statsmodels/discrete/discrete_model.py	5178	CODE
LOW	statsmodels/discrete/discrete_model.py	5276	CODE
LOW	statsmodels/discrete/discrete_model.py	5182	CODE
LOW	statsmodels/discrete/discrete_model.py	5840	CODE
LOW	statsmodels/discrete/conditional_models.py	112	CODE
LOW	statsmodels/discrete/conditional_models.py	549	CODE
LOW	statsmodels/discrete/_diagnostics_count.py	232	CODE
LOW	statsmodels/discrete/_diagnostics_count.py	516	CODE
LOW	statsmodels/discrete/_diagnostics_count.py	562	CODE
LOW	statsmodels/discrete/_diagnostics_count.py	611	CODE
LOW	statsmodels/discrete/diagnostic.py	110	CODE
LOW	statsmodels/discrete/diagnostic.py	145	CODE
LOW	statsmodels/discrete/diagnostic.py	261	CODE
LOW	statsmodels/discrete/count_model.py	190	CODE
LOW	statsmodels/discrete/count_model.py	235	CODE
LOW	statsmodels/discrete/count_model.py	1151	CODE
LOW	statsmodels/discrete/count_model.py	1133	CODE
194 more matches not shown…

AI Response Leakage16 hits · 124 pts

Severity	File	Line	Snippet	Context
HIGH	examples/python/glm.py	28	# In this example, we use the Star98 dataset which was taken with	COMMENT
HIGH	examples/python/glm_weights.py	24	# In this example, we'll use the affair dataset using a handful of	COMMENT
HIGH	examples/python/statespace_varmax.py	94	# uncorrelated. In this example we leave out the exogenous regressor but now	COMMENT
HIGH	examples/python/kernel_density.py	32	# In this example we will show the following:	COMMENT
HIGH	examples/python/statespace_news.py	459	# In this example, we'll consider forecasting monthly core price inflation	COMMENT
HIGH	examples/python/categorical_interaction_plot.py	14	# In this example, we will visualize the interaction between categorical	COMMENT
HIGH	examples/python/multivariate_ls.py	155	# In this example, the pvalues agree at 3 decimals.	COMMENT
HIGH	examples/python/wls.py	51	# In this example, `w` is the standard deviation of the error. `WLS`	COMMENT
HIGH⚡	examples/python/influence_glm_logit.py	68	# In this example observation 4 and 18 have a large standardized residual	COMMENT
HIGH	examples/python/metaanalysis1.py	157	# In this example the effect size is the mean of measurements in a lab. We	COMMENT
HIGH	examples/python/rolling_ls.py	148	# available for the full window length. In this example, we start once we	COMMENT
HIGH	examples/python/ordinal_regression.py	250	# In this example, the created dummy variables `C(dummy)[0.0]` and	COMMENT
HIGH	examples/incomplete/ols_table.py	14	# Note: In this example using zscored/standardized variables has no effect on	COMMENT
HIGH	statsmodels/sandbox/panel/mixed.py	643	# # note I have written this already as helper function, get it	COMMENT
HIGH	…statespace/tests/test_dynamic_factor_mq_monte_carlo.py	490	# In this example, both endog_M and endog_Q are equal to the factors,	COMMENT
HIGH	…statespace/tests/test_dynamic_factor_mq_monte_carlo.py	652	# In this example, both endog_M and endog_Q are equal to the factors,	COMMENT

Modern Structural Boilerplate122 hits · 122 pts

Severity	File	Line	Snippet	Context
LOW	statsmodels/conftest.py	20	logger = logging.getLogger(__name__)	CODE
LOW	statsmodels/__init__.py	39	__all__ = ["__version__", "__version_info__", "__version_tuple__", "test"]	CODE
LOW	statsmodels/api.py	1	__all__ = [	CODE
LOW	statsmodels/robust/__init__.py	4	__all__ = ["Huber", "HuberScale", "hubers_scale", "mad", "norms", "test"]	CODE
LOW	statsmodels/robust/robust_linear_model.py	28	__all__ = ["RLM"]	CODE
LOW	statsmodels/nonparametric/kernel_regression.py	51	__all__ = ["KernelCensoredReg", "KernelReg"]	CODE
LOW	statsmodels/nonparametric/kernel_density.py	44	__all__ = ["EstimatorSettings", "KDEMultivariate", "KDEMultivariateConditional"]	CODE
LOW	statsmodels/nonparametric/api.py	1	__all__ = [	CODE
LOW	statsmodels/tools/eval_measures.py	653	__all__ = [	STRING
LOW	statsmodels/tools/__init__.py	7	__all__ = ["add_constant", "categorical", "test"]	CODE
LOW	statsmodels/tools/linalg.py	5	__all__ = ["logdet_symm", "matrix_sqrt", "stationary_solve", "transf_constraints"]	CODE
LOW	statsmodels/tools/_decorators.py	7	__all__ = [	CODE
LOW	statsmodels/tools/typing.py	42	__all__ = [	CODE
LOW	statsmodels/tools/validation/__init__.py	14	__all__ = [	CODE
LOW	statsmodels/compat/matplotlib.py	11	__all__ = ["MPL_LT_310"]	CODE
LOW	statsmodels/compat/pandas.py	26	__all__ = [	CODE
LOW	statsmodels/compat/__init__.py	13	__all__ = [	CODE
LOW	statsmodels/compat/numpy.py	45	__all__ = [	CODE
LOW	statsmodels/compat/platform.py	5	__all__ = [	CODE
LOW	statsmodels/compat/pytest.py	11	__all__ = ["pytest_warns"]	CODE
LOW	statsmodels/compat/scipy.py	144	__all__ = [	CODE
LOW	statsmodels/compat/python.py	18	__all__ = [	CODE
LOW	statsmodels/multivariate/api.py	1	__all__ = [	CODE
LOW	statsmodels/multivariate/factor_rotation/__init__.py	29	__all__ = [	CODE
LOW	statsmodels/multivariate/factor_rotation/_wrappers.py	14	__all__ = []	CODE
LOW	statsmodels/discrete/discrete_model.py	19	__all__ = [	CODE
LOW	statsmodels/discrete/count_model.py	1	__all__ = [	CODE
LOW	statsmodels/discrete/truncated_model.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/__init__.py	44	__all__ = [	CODE
LOW	statsmodels/datasets/statecrime/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/committee/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/engel/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/strikes/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/cpunish/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/anes96/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/heart/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/modechoice/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/randhie/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/copper/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/fertility/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/elec_equip/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/sunspots/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/china_smoking/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/star98/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/macrodata/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/scotland/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/longley/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/spector/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/cancer/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/fair/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/nile/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/ccard/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/danish_data/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/stackloss/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/elnino/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/interest_inflation/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/grunfeld/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/datasets/co2/__init__.py	1	__all__ = [	CODE
LOW	statsmodels/miscmodels/api.py	1	__all__ = ["PoissonGMLE", "PoissonOffsetGMLE", "PoissonZiGMLE", "TLinearModel"]	CODE
LOW	statsmodels/iolib/__init__.py	7	__all__ = [	CODE
62 more matches not shown…

Dead Code30 hits · 60 pts

Severity	File	Line	Context
MEDIUM	statsmodels/tools/tests/test_numdiff.py	333	CODE
MEDIUM	statsmodels/tools/tests/test_numdiff.py	334	CODE
MEDIUM	statsmodels/multivariate/multivariate_ols.py	537	CODE
MEDIUM	statsmodels/discrete/count_model.py	647	CODE
MEDIUM	statsmodels/discrete/count_model.py	648	CODE
MEDIUM	statsmodels/discrete/count_model.py	650	CODE
MEDIUM	statsmodels/discrete/count_model.py	660	CODE
MEDIUM	statsmodels/discrete/count_model.py	662	CODE
MEDIUM	statsmodels/discrete/tests/test_truncated_model.py	130	CODE
MEDIUM	statsmodels/discrete/tests/test_truncated_model.py	171	CODE
MEDIUM	statsmodels/tsa/statespace/tests/test_dynamic_factor.py	120	CODE
MEDIUM	statsmodels/tsa/statespace/tests/test_dynamic_factor.py	121	CODE
MEDIUM	statsmodels/tsa/statespace/tests/test_dynamic_factor.py	124	CODE
MEDIUM	statsmodels/tsa/statespace/tests/test_dynamic_factor.py	125	CODE
MEDIUM	statsmodels/tsa/statespace/tests/test_dynamic_factor.py	126	CODE
MEDIUM	statsmodels/tsa/statespace/tests/test_dynamic_factor.py	127	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	814	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	815	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	817	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	818	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	820	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	821	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	822	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	826	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	827	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	828	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	829	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	830	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	831	CODE
MEDIUM	…dels/tsa/statespace/tests/test_simulation_smoothing.py	832	CODE

Excessive Try-Catch Wrapping56 hits · 56 pts

Severity	File	Line	Snippet	Context
LOW	tools/validate_docstrings.py	538	except Exception as exc:	CODE
LOW	tools/nbgenerate.py	148	except Exception as e:	STRING
LOW	tools/releasing/enumerate-api.py	64	except Exception:	CODE
LOW	tools/releasing/enumerate-api.py	105	except Exception:	CODE
LOW	docs/source/conf.py	500	except Exception as exc:	STRING
LOW	examples/run_all.py	38	except Exception as e:	CODE
LOW	statsmodels/nonparametric/kde.py	44	except Exception as exc:	CODE
MEDIUM	statsmodels/nonparametric/kde.py	41	def _checkisfit(self):	CODE
LOW	statsmodels/tools/rng_qrng.py	56	except Exception as exc_1:	CODE
LOW	statsmodels/tools/validation/validation.py	285	except Exception as exc:	CODE
LOW	statsmodels/tools/validation/validation.py	329	except Exception:	CODE
LOW	statsmodels/tools/validation/validation.py	405	except Exception:	CODE
LOW	statsmodels/compat/patsy.py	132	except Exception:	CODE
MEDIUM	statsmodels/compat/patsy.py	16	def monkey_patch_cat_dtype():	CODE
LOW	statsmodels/datasets/utils.py	61	except Exception:	CODE
LOW	statsmodels/datasets/utils.py	155	except Exception:	CODE
LOW	statsmodels/sandbox/sysreg.py	333	except Exception as exc:	CODE
LOW	statsmodels/sandbox/examples/run_all.py	36	except Exception as exc:	CODE
LOW	statsmodels/sandbox/examples/example_sysreg.py	159	except Exception as exc:	CODE
LOW	…atsmodels/sandbox/examples/thirdparty/ex_ratereturn.py	23	except Exception: # blanket for any unpickling error	CODE
MEDIUM	…atsmodels/sandbox/examples/thirdparty/ex_ratereturn.py	24	print("Error with unpickling, a new pickle file can be created with findow_1")	CODE
LOW	statsmodels/sandbox/distributions/gof_new.py	120	except Exception:	CODE
LOW	…atsmodels/sandbox/distributions/tests/check_moments.py	102	except Exception:	CODE
LOW	statsmodels/examples/ex_emplike_2.py	91	except Exception:	CODE
LOW	statsmodels/examples/ex_rootfinding.py	98	except Exception as e:	CODE
LOW	statsmodels/examples/try_tukey_hsd.py	387	except Exception as e:	CODE
LOW	statsmodels/examples/run_all.py	72	except Exception:	CODE
LOW	statsmodels/genmod/generalized_linear_model.py	1279	except Exception as exc:	STRING
LOW	statsmodels/tsa/arima_process.py	881	except Exception as exc:	STRING
LOW	statsmodels/tsa/deterministic.py	116	except Exception as exc:	CODE
LOW	statsmodels/tsa/tsatools.py	129	except Exception:	CODE
MEDIUM	statsmodels/tsa/tsatools.py	126	def safe_is_const(s):	CODE
LOW	statsmodels/tsa/ar_model.py	1887	except Exception as exc:	CODE
LOW⚡	statsmodels/tsa/statespace/mlemodel.py	5403	except Exception: # FIXME: catch something specific	STRING
LOW⚡	statsmodels/tsa/statespace/mlemodel.py	5407	except Exception: # FIXME: catch something specific	STRING
LOW⚡	statsmodels/tsa/statespace/mlemodel.py	5411	except Exception: # FIXME: catch something specific	STRING
LOW	statsmodels/tsa/statespace/tests/test_save.py	31	except Exception:	CODE
LOW	statsmodels/tsa/vector_ar/util.py	300	except Exception:	CODE
MEDIUM	statsmodels/tsa/vector_ar/util.py	297	def get_index(lst, name):	CODE
LOW	statsmodels/tsa/regime_switching/markov_switching.py	1530	except Exception: # FIXME: catch something specific	CODE
LOW	statsmodels/tsa/arima/tests/test_model.py	467	except Exception as exc:	CODE
LOW	statsmodels/tsa/arima/tests/test_model.py	477	except Exception as exc:	CODE
LOW	statsmodels/tsa/stattools/_arma_order_selection.py	43	except Exception: # no idea what happened	CODE
LOW	statsmodels/tsa/holtwinters/model.py	260	except Exception as exc:	CODE
LOW⚡	statsmodels/tsa/exponential_smoothing/base.py	893	except Exception: # FIXME: catch something specific	STRING
LOW⚡	statsmodels/tsa/exponential_smoothing/base.py	897	except Exception: # FIXME: catch something specific	STRING
LOW⚡	statsmodels/tsa/exponential_smoothing/base.py	901	except Exception: # FIXME: catch something specific	STRING
LOW	statsmodels/tsa/base/tsa_model.py	557	except Exception as exc:	CODE
LOW	statsmodels/graphics/gofplots.py	231	except Exception as exc:	CODE
LOW	statsmodels/graphics/gofplots.py	263	except Exception as exc:	CODE
LOW	statsmodels/base/model.py	1183	except Exception as exc:	CODE
LOW	statsmodels/stats/tabledist.py	95	except Exception as exc:	CODE
LOW	statsmodels/stats/diagnostic.py	1078	except Exception as exc:	STRING
LOW	statsmodels/stats/libqsturng/qsturng_.py	1917	except Exception:	CODE
LOW	statsmodels/stats/libqsturng/qsturng_.py	2095	except Exception as e:	CODE
LOW	statsmodels/stats/tests/test_power.py	99	except Exception as exc:	CODE

Structural Annotation Overuse22 hits · 32 pts

Severity	File	Line	Snippet	Context
LOW	examples/python/statespace_news.py	102	# #### Step 1: fitting the model on the available dataset	COMMENT
LOW	examples/python/statespace_news.py	165	# #### Step 2: computing the "news" from a new observation	COMMENT
LOW	examples/python/statespace_tvpvar_mcmc_cfa.py	421	# Step 3: Initialize the state vector as alpha_1 ~ N(0, 5I)	COMMENT
LOW⚡	examples/python/statespace_forecasting.py	198	# Step 2: produce one-step-ahead forecasts	COMMENT
LOW⚡	examples/python/statespace_forecasting.py	201	# Step 3: compute root mean square forecasting error	COMMENT
LOW⚡	examples/python/statespace_forecasting.py	253	# Step 2: produce one-step-ahead forecasts	COMMENT
LOW⚡	examples/python/statespace_forecasting.py	256	# Step 3: compute root mean square forecasting error	COMMENT
LOW	examples/python/statespace_forecasting.py	187	# Step 1: fit model parameters w/ training sample	COMMENT
LOW	examples/python/statespace_forecasting.py	240	# Step 1: append a new observation to the sample and refit the parameters	COMMENT
LOW⚡	statsmodels/tsa/statespace/tools.py	859	# Step 1: convert from arbitrary matrices to those with singular values	STRING
LOW⚡	statsmodels/tsa/statespace/tools.py	864	# Step 2: convert matrices from our "partial autocorrelation matrix" space	STRING
LOW⚡	statsmodels/tsa/statespace/tools.py	902	# Step 1: convert from arbitrary matrices to those with singular values	STRING
LOW⚡	statsmodels/tsa/statespace/tools.py	908	# Step 2: convert matrices from our "partial autocorrelation matrix"	STRING
LOW⚡	statsmodels/tsa/statespace/tools.py	1437	# Step 1: convert matrices from the space of stationary	STRING
LOW⚡	statsmodels/tsa/statespace/tools.py	1443	# Step 2: convert from arbitrary matrices to those with singular values	STRING
LOW⚡	statsmodels/tsa/arima/estimators/hannan_rissanen.py	181	# Step 1: Compute long AR model via Yule-Walker, get residuals	COMMENT
LOW⚡	statsmodels/tsa/arima/estimators/hannan_rissanen.py	191	# Step 2: estimate ARMA model via least squares	COMMENT
LOW	statsmodels/tsa/arima/estimators/hannan_rissanen.py	237	# Step 3: bias correction (if requested)	COMMENT
LOW	statsmodels/tsa/arima/estimators/gls.py	182	# Step 1: OLS	COMMENT
LOW	statsmodels/tsa/arima/estimators/gls.py	207	# Step 2 - 4: iterate feasible GLS to convergence	COMMENT
LOW⚡	statsmodels/tsa/arima/estimators/gls.py	228	# Step 2: ARMA	COMMENT
LOW	statsmodels/tsa/arima/estimators/gls.py	294	# Step 3: GLS	COMMENT

Verbosity Indicators21 hits · 31 pts

Severity	File	Line	Snippet	Context
LOW	examples/python/statespace_news.py	102	# #### Step 1: fitting the model on the available dataset	COMMENT
LOW	examples/python/statespace_news.py	165	# #### Step 2: computing the "news" from a new observation	COMMENT
LOW	examples/python/statespace_tvpvar_mcmc_cfa.py	421	# Step 3: Initialize the state vector as alpha_1 ~ N(0, 5I)	COMMENT
LOW⚡	examples/python/statespace_forecasting.py	198	# Step 2: produce one-step-ahead forecasts	COMMENT
LOW⚡	examples/python/statespace_forecasting.py	201	# Step 3: compute root mean square forecasting error	COMMENT
LOW⚡	examples/python/statespace_forecasting.py	253	# Step 2: produce one-step-ahead forecasts	COMMENT
LOW⚡	examples/python/statespace_forecasting.py	256	# Step 3: compute root mean square forecasting error	COMMENT
LOW	examples/python/statespace_forecasting.py	187	# Step 1: fit model parameters w/ training sample	COMMENT
LOW	examples/python/statespace_forecasting.py	240	# Step 1: append a new observation to the sample and refit the parameters	COMMENT
LOW⚡	statsmodels/tsa/statespace/tools.py	859	# Step 1: convert from arbitrary matrices to those with singular values	STRING
LOW⚡	statsmodels/tsa/statespace/tools.py	864	# Step 2: convert matrices from our "partial autocorrelation matrix" space	STRING
LOW⚡	statsmodels/tsa/statespace/tools.py	902	# Step 1: convert from arbitrary matrices to those with singular values	STRING
LOW⚡	statsmodels/tsa/statespace/tools.py	908	# Step 2: convert matrices from our "partial autocorrelation matrix"	STRING
LOW⚡	statsmodels/tsa/statespace/tools.py	1437	# Step 1: convert matrices from the space of stationary	STRING
LOW⚡	statsmodels/tsa/statespace/tools.py	1443	# Step 2: convert from arbitrary matrices to those with singular values	STRING
LOW⚡	statsmodels/tsa/arima/estimators/hannan_rissanen.py	181	# Step 1: Compute long AR model via Yule-Walker, get residuals	COMMENT
LOW⚡	statsmodels/tsa/arima/estimators/hannan_rissanen.py	191	# Step 2: estimate ARMA model via least squares	COMMENT
LOW	statsmodels/tsa/arima/estimators/hannan_rissanen.py	237	# Step 3: bias correction (if requested)	COMMENT
LOW	statsmodels/tsa/arima/estimators/gls.py	182	# Step 1: OLS	COMMENT
LOW⚡	statsmodels/tsa/arima/estimators/gls.py	228	# Step 2: ARMA	COMMENT
LOW	statsmodels/tsa/arima/estimators/gls.py	294	# Step 3: GLS	COMMENT

Slop Phrases10 hits · 27 pts

Severity	File	Line	Snippet	Context
MEDIUM	examples/python/formulas.py	43	# Or you can use the following convention	COMMENT
MEDIUM	examples/python/statespace_forecasting.py	506	# all, like a Numpy array. However, if you can use a Pandas series with an	COMMENT
MEDIUM	examples/python/regression_plots.py	132	# For a quick check of all the regressors, you can use	COMMENT
MEDIUM	examples/python/regression_plots.py	134	# points, but you can use them to identify problems and then use	COMMENT
MEDIUM	examples/python/statespace_sarimax_pymc3.py	298	# For version <= 3.6 you can use lines=dict(res_mle.params) instead	COMMENT
MEDIUM	examples/python/statespace_sarimax_pymc3.py	428	# For version <= 3.6 you can use lines=dict(res_mle.params) instead	COMMENT
LOW	examples/python/statespace_custom_models.py	753	# .html), so make sure to check that for more details.	COMMENT
MEDIUM	examples/python/glm_formula.py	14	# This notebook illustrates how you can use R-style formulas to fit	COMMENT
MEDIUM	statsmodels/examples/example_discrete_mnl.py	21	# However, you can use other solvers	COMMENT
LOW	…smodels/regression/tests/results/results_regression.py	184	# from Stata, make sure you force double to replicate	COMMENT

Hallucination Indicators2 hits · 25 pts

Severity	File	Line	Snippet	Context
CRITICAL	statsmodels/sandbox/mcevaluate/mcresuts_arma1.txt	7	scikits.statsmodels.tsa.arma_mle.Arma.fit((2,0,2))	CODE
CRITICAL	statsmodels/stats/outliers_influence.py	511	# self.results.model.family.link.deriv(self.results.fittedvalues)	COMMENT

Redundant / Tautological Comments15 hits · 16 pts

Severity	File	Line	Snippet	Context
LOW	statsmodels/examples/l1_demo/short_demo.py	48	# Print results	COMMENT
LOW	statsmodels/examples/l1_demo/short_demo.py	75	# Print results	COMMENT
LOW	…odels/genmod/tests/gee_categorical_simulation_check.py	197	# Loop over data generating models	COMMENT
LOW	statsmodels/genmod/tests/gee_simulation_check.py	259	# Loop over data generating models	COMMENT
LOW	…tsmodels/genmod/tests/gee_gaussian_simulation_check.py	264	# Loop over data generating models	COMMENT
LOW	…atsmodels/genmod/tests/gee_poisson_simulation_check.py	191	# Loop over data generating models	COMMENT
LOW	statsmodels/tsa/statespace/structural.py	436	# Check if any of the trend/level components have been set, and	STRING
LOW	statsmodels/tsa/statespace/tools.py	219	# Check if we just have a scalar polynomial	STRING
LOW	statsmodels/tsa/statespace/tools.py	222	# Check if 1 was passed as the first argument (indicating an	STRING
LOW	statsmodels/tsa/statespace/representation.py	274	# Check if k_endog is actually the endog array	STRING
LOW	statsmodels/tsa/statespace/dynamic_factor_mq.py	2687	# Print output every `disp` observations	STRING
LOW	statsmodels/tsa/regime_switching/markov_switching.py	766	# Check if we need to do weighted averaging	COMMENT
LOW	statsmodels/tsa/base/tsa_model.py	202	# Check if we now have a modified index	COMMENT
LOW	statsmodels/regression/process_regression.py	848	# Check if the group exists, since _groups_ix is a	STRING
LOW	statsmodels/duration/tests/results/phreg_gentests.py	26	# Set this to get a reasonable amount of censoring	COMMENT

Synthetic Comment Markers2 hits · 5 pts

Severity	File	Line	Snippet	Context
HIGH	statsmodels/imputation/mice.py	593	# Order the columns as requested	STRING
HIGH	statsmodels/imputation/mice.py	609	# Order the rows as requested	STRING

TODO Padding3 hits · 4 pts

Severity	File	Line	Snippet	Context
LOW	statsmodels/tsa/statespace/exponential_smoothing.py	164	# TODO: add validation for bounds (e.g. have all bounds, upper > lower)	COMMENT
LOW	statsmodels/regression/tests/test_lme.py	32	# TODO: add tests with unequal group sizes	COMMENT
LOW	statsmodels/regression/tests/test_robustcov.py	27	# TODO: implement test_hac_simple	COMMENT

Example Usage Blocks1 hit · 2 pts

Severity	File	Line	Snippet	Context
LOW	…s/genmod/tests/results/test_get_R_tweedie_var_weight.R	4	# Usage:	COMMENT

Overly Generic Function Names1 hit · 1 pts

Severity	File	Line	Snippet	Context
LOW	statsmodels/tools/tests/test_web.py	26	def test_function(self):	CODE

Analysis Overview

What These Metrics Mean

Score History

Severity Breakdown

Directory Score Breakdown

Pattern Findings