ml_grid.model_classes.svc_class

Classes

SVC_class

Initializes the SVC_class.

Module Contents

class ml_grid.model_classes.svc_class.SVC_class(X: pandas.DataFrame | None = None, y: pandas.Series | None = None, parameter_space_size: str | None = None)[source]

Initializes the SVC_class.

This class requires scaled data. If the input data X is not detected as scaled, it will be automatically scaled using StandardScaler.

Parameters:

  • X (Optional[pd.DataFrame]) – Feature matrix for training. Defaults to None.

  • y (Optional[pd.Series]) – Target vector for training. Defaults to None.

  • parameter_space_size (Optional[str]) – Size of the parameter space for optimization. Defaults to None.

X = None[source]
y = None[source]
algorithm_implementation[source]
method_name = 'SVC'[source]
parameter_vector_space[source]
is_data_scaled() → bool[source]

Checks if the feature matrix X is scaled.

This method determines if the data appears to be scaled by checking if all feature values fall within the [0, 1] or [-1, 1] range.

Returns:

True if data appears to be scaled, False otherwise.

Return type:

bool

scale_data() → None[source]

Scales the feature matrix X using MinMaxScaler.