Out of sample extension for Isomap in SklearnFeature importance for random forest classification of a sampleSklearn Random Forest Prediction Correlation IssueSample selection through clusteringWhat are 2D dimensionality reduction algorithms good for?Class weight ineffective in sklearnValidation curve unlike SKLearn sampleTrain Test Split for overlapping samplessklearn cross_validate without test/train splitFor a multi-class classification problem, how to transform the target variable to a form that is usable by sklearn algorithms?Using raw log probabilities from Bernoulli Naive Bayes Classifier in python
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Out of sample extension for Isomap in Sklearn
Feature importance for random forest classification of a sampleSklearn Random Forest Prediction Correlation IssueSample selection through clusteringWhat are 2D dimensionality reduction algorithms good for?Class weight ineffective in sklearnValidation curve unlike SKLearn sampleTrain Test Split for overlapping samplessklearn cross_validate without test/train splitFor a multi-class classification problem, how to transform the target variable to a form that is usable by sklearn algorithms?Using raw log probabilities from Bernoulli Naive Bayes Classifier in python
$begingroup$
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
asked 21 mins ago
AlexAlex
1
New contributor
Alex is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
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
asked 21 mins ago
AlexAlex
1
New contributor
Alex is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
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
asked 21 mins ago
AlexAlex
1
New contributor
Alex is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
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
python scikit-learn dimensionality-reduction
asked 21 mins ago
AlexAlex
1
New contributor
Alex is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 21 mins ago
AlexAlex
1
New contributor
Alex is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 21 mins ago
AlexAlex
1
New contributor
Alex is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 21 mins ago
AlexAlex
1
asked 21 mins ago
AlexAlex
1
1
New contributor
Alex is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Alex is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Alex is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
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