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Out of sample extension for Isomap in Sklearn

1

$begingroup$

If I'm fitting the isomap class with a certain dataset, then I transform with a different one, does that mean that Sklearn is doing out-of-sample extension ?

I.e.

isomap=sklearn.manifold.isomap()
isomap.fit(X1)

isomap.transform(X2)

python scikit-learn dimensionality-reduction

share|improve this question

asked Mar 24 at 23:40

AlexAlex

61

$endgroup$

add a comment | 

1

$begingroup$

If I'm fitting the isomap class with a certain dataset, then I transform with a different one, does that mean that Sklearn is doing out-of-sample extension ?

I.e.

isomap=sklearn.manifold.isomap()
isomap.fit(X1)

isomap.transform(X2)

python scikit-learn dimensionality-reduction

share|improve this question

asked Mar 24 at 23:40

AlexAlex

61

$endgroup$

add a comment | 

$begingroup$

If I'm fitting the isomap class with a certain dataset, then I transform with a different one, does that mean that Sklearn is doing out-of-sample extension ?

I.e.

isomap=sklearn.manifold.isomap()
isomap.fit(X1)

isomap.transform(X2)

python scikit-learn dimensionality-reduction

share|improve this question

asked Mar 24 at 23:40

AlexAlex

61

$endgroup$

isomap=sklearn.manifold.isomap()
isomap.fit(X1)

isomap.transform(X2)

share|improve this question

asked Mar 24 at 23:40

AlexAlex

61

share|improve this question

asked Mar 24 at 23:40

AlexAlex

61

asked Mar 24 at 23:40

AlexAlex

61

asked Mar 24 at 23:40

AlexAlex

61