Utils module¶

pyro_risks.models.utils.check_x(X: pandas.core.frame.DataFrame) → pandas.core.frame.DataFrame[source]¶

Validate inputs for tranformers.

Parameters: X – Training dataset features pd.DataFrame.
Raises: TypeError – Transformer methods expect pd.DataFrame as inputs.
Returns: Copy of the inputs.

pyro_risks.models.utils.check_xy(X: pandas.core.frame.DataFrame, y: pandas.core.series.Series) → Tuple[pandas.core.frame.DataFrame, pandas.core.series.Series][source]¶

Validate inputs for transformers.

Parameters

X – Training dataset features pd.DataFrame.
y – Training dataset target pd.Series.

Raises

TypeError – Transformer methods expect pd.DataFrame and pd.Series as inputs.

Returns

Copy of the inputs.

pyro_risks.models.utils.discretizer(x: float) → int[source]¶

Discretize values.

Parameters: x (python:float) – value to be discretized
Returns: discretized value
Return type: int