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3-class example.
http://scikit-learn.org/stable/auto_examples/linear_model/plot_iris_logistic.html#example-linear-model-plot-iris-logistic-py
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I think Naive Bayes was relatively easy, but I'm a little unsure about what we need to do for LR. I don't see anyone positing about this on piazza, so either nobody is confused about this, or they hav…
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Running the module gives:
```
C:\ProgramData\Anaconda3\python.exe "D:/Walter Study/Udacity/Deep Learning/SoftwarePractice/Logistic_Binary_Classification/logistic_regression.py"
C:\ProgramData\Ana…
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#### Is your feature request related to a problem? Please describe.
I am trying to discover low rank features in tensor data (neural time series that have been expanded into spectrograms) that regres…
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```Python
>>> from sklearn.datasets import load_iris
>>> from sklearn.linear_model import LogisticRegression
>>> X, y = load_iris(return_X_y=True)
>>> clf = LogisticRegression(random_state=0).fit(X, …
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I have trained a logistic regression model based on the tutorial. Is there a way to compute accuracy with that model using any built-in function (like the one present in torch_alex_test.mpc)?
For i…
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Thanks for your answers. But the answers from the logistic regression quiz isn't correct. I see the program. Maybe they have updated the question's requirements. Also they added another quiz in week 4…
ghost updated
2 years ago
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log: [Build · microsoft/hummingbird@ae958a2](https://github.com/microsoft/hummingbird/actions/runs/9230073244/job/25397550636)
```
=========================== short test summary info =============…
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We can compare to this JMLR paper : [Stochastic Gradient Descent as Approximate Bayesian Inference](https://arxiv.org/abs/1704.04289).
They have experiments which are easier to work with : Linear Reg…