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Results tagged with scikit-learn
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user 42681
scikit-learn is a popular machine learning package for Python that has simple and efficient tools for predictive data analysis. Topics include classification, regression, clustering, dimensionality reduction, model selection, and preprocessing.
1
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0
answers
168
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Gaussian Process Regression: does feature normalization affect final log-likelihood of model?
I'm trying to learn a Gaussian Process Regressor in SKLearn.
I tried it both with and without feature (and output) normalization, and even though results seem similar-ish, the reported log marginal l …
- 250
1
vote
Accepted
Gaussian process regression: sudden increase of the prediction's variance
Hmm, I've seen this before. It seemed to be some kind of overfitting on the time component where only very nearby samples were taken into account, before defaulting to the prior (which has zero mean). …
- 250
2
votes
Accepted
Softmax: Different output scikit-learn and TensorFlow
The problem turned out to be silly, I just needed more epochs, a smaller learning rate (and for efficiency I turned to AdamOptimizer, results are now equal.
(1681,)
(1681, 2)
SCI-KITLEARN RESULTS:
…
- 250
3
votes
2
answers
1k
views
Softmax: Different output scikit-learn and TensorFlow
I'm trying to learn a simple linear softmax model on some data. The LogisticRegression in scikit-learn seems to work fine, and now I am trying to port the code to TensorFlow, but I'm not getting the s …
- 250