era-py
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Polars models and research design
models.BoostModel
Function reference
Packaged data
available_data
data_info
data_catalog
load_data
load_farr_rda
Polars event dates and Parquet
get_trading_dates
get_annc_dates
get_event_dates
load_parquet
cast_decimals
Polars external data
get_ff_daily_factors
get_ff_ind
get_size_rets_monthly
get_me_breakpoints
drive_download
ensure_lm_10x_summary_parquet
Polars models and research design
ols_dropcollinear
get_got_data
get_test_scores
get_idd_periods
fit_test_score_panel
rusboost
predict_proba_series
models.BoostModel
models.ConstantProbModel
Polars expression and dataframe methods
namespaces.EraExpr
namespaces.EraDataFrame
Polars tables, plots, and text
modelsummary
show_typst
spline_smooth
rdplot
plotnine_star
NumberedLines
ptime
SEC indexes
sec_resolve_user_agent
sec_parse_company_bytes
sec_get_index
sec_index_available_update
sec_index_targets
sec_index_update
sec_index_update_all
Pandas and Ibis API
Pandas and Ibis API
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Methods
predict_proba
Polars models and research design
models.BoostModel
models.BoostModel
era_pl.models.BoostModel(weak_learners, alpha)
Methods
Name
Description
predict_proba
predict_proba
era_pl.models.BoostModel.predict_proba(X)