Dimensionality Reduction

API reference for sovai.extensions.dimensionality_reduction

Module: sovai.extensions.dimensionality_reduction

Functions

fillna_df()

def fillna_df(df, verbose = False)

Preprocess the panel data.

Parameters

Parameter	Type	Description
df	—	—
verbose	—	Default: False

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check_and_scale_data()

def check_and_scale_data(df)

Check if data is scaled in any fashion, and scale it only if it's not scaled.

Parameters

Parameter	Type	Description
df	—	—

Returns

• pd.DataFrame: Original or scaled data

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postprocess_reduced_data()

def postprocess_reduced_data(reduced_data, original_df)

Convert reduced data back to panel format.

Parameters

Parameter	Type	Description
reduced_data	—	—
original_df	—	—

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dimensionality_reduction()

def dimensionality_reduction(
    df,
    method,
    explained_variance = 0.95,
    n_components = None,
    random_state = 42,
)

Apply dimensionality reduction technique.

Parameters

Parameter	Type	Description
df	—	pandas DataFrame
method	—	str, dimensionality reduction method
explained_variance	—	float, amount of variance to be explained (default: 0.95)
n_components	—	int or None, number of components (takes precedence over explained_variance if provided)
random_state	—	int, random state for reproducibility

Returns

• reduced_data: pandas DataFrame with reduced dimensions

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