CODEWITHSUNDEEP
pythonscikit-learnpca
Akhilesh Pandey
Akhilesh Pandey

Reputation: 896

What does fit, transform, and fit_transform do in PCA available in sklearn.decomposition?

I am trying to mimic the behavior of PCA class available in sklearn.decomposition.

I have wrote a method which computes the SVD but I am not sure what does fit(), tranform(), and fit_transform() do without which I'm not able to proceed further.

I think fit() computes the svd and the singular values can be accessed using the singular_values_ attribute but I don't know about the remaining two methods.

Upvotes: 0

Views: 6049

Answers (1)

Tim
Tim

Reputation: 10709

In the docs you can see a general explanation of fit(), transform(), and fit_transform():

[...] a fit method, which learns model parameters (e.g. mean and standard deviation for normalization) from a training set, and a transform method which applies this transformation model to unseen data. fit_transform may be more convenient and efficient for modelling and transforming the training data simultaneously.

Upvotes: 3

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