iaml.actionables.features_precleaning.act_coerce_numeric_strings¶
[STEP] Coerce numeric strings to numeric values
Classes¶
[STEP] Coerce numeric strings to numeric values |
Module Contents¶
- class iaml.actionables.features_precleaning.act_coerce_numeric_strings.ActCoerceNumericStrings¶
Bases:
iaml.actionable.Actionable[STEP] Coerce numeric strings to numeric values
- name: str = 'Coerce numeric strings'¶
Step’s name.
- refs: list[dict[str, Any]] = []¶
List of references for this step.
- configuration¶
Configuration of this step (equivalent to hyperparameters for models).
- columns: list[tuple[str, str]] = None¶
- fit(dataset: iaml.dataset.Dataset) iaml.actionable.Actionable¶
Fits the step on the given dataset.
- Parameters:
dataset (Dataset) – Features and labels.
- Returns:
Fitted step.
- transform(X: pandas.DataFrame) pandas.DataFrame¶
Coerce numeric-like strings into numeric values.
- Parameters:
X (pd.DataFrame) – DataFrame to transform.
- Returns:
Transformed DataFrame.
- priorize(candidate: iaml.candidate.Candidate = None) float¶
Evaluates the priority of the step within a pipeline. 0 means the execution of the step should not be prioritized, and 1 means it should be executed early in the pipeline.
- Parameters:
candidate (Candidate, optional) – Candidate on which the priority should be evaluated.
- Returns:
Value between 0 and 1.
- suitable(dataset: iaml.dataset.Dataset) bool¶
Evaluates whether the step is suitable to run with the given dataset.
- Parameters:
dataset (Dataset) – Dataset to evaluate on.
- Returns:
Whether the step is suitable to run.