MLP learning rate optimization with GridSearchCV
I’m trying to tune the hyperparameters of MLP classifier using GridSearchCV but facing the following issue: /usr/local/lib/python3.7/dist-packages/sklearn/model_selection/_validation.py:536: …
Tag: scikit-learn
How to get slope of variables and intercept from a stored(serialized using python pickle) ML model
I am a newbie to machine learning and python. I have a Python code snippet which loads stored ml model and predict with new inputs. mlModel = pickle.load(open(‘linear_model4.pickle’,’rb’)) …
Gaussian Mixture Model: ValueError: pvals < 0, pvals > 1 or pvals contains NaNs
I’m struggling to sample from a Gaussian Mixture Model. I have a very simple example where there’s actually only one component (so, not actually a mixture). Then I fit it using standard normal data. …
Use SHAP values to explain LogisticRegression Classification
I am trying to do some bad case analysis on my product categorization model using SHAP. My data looks something like this: corpus_train, corpus_test, y_train, y_test = train_test_split(data[‘…
Precision calculation warning when using GridSearchCV for Logistic Regression
I am trying to run GridSearchCV with the LogisticRegression estimator and record the model accuracy, precision, recall, f1 metrics. However, I get the following error on the precision metric: …
How to fix randomization in sklearn
I am trying to fix the randomization in my code but every time I run, I get different best score and best parameters. The results are no too far apart, but how can I fix the result to get the same …
Sklearn extra: KMedoids missing ‘method’ parameter
According to the Sklearn_extra documentation on KMedoids, KMedoids should have the following parameters: n_clusters, metric, method, init, max_iter and random_state. The method parameter determines …
Transfomers for mixed data types
I’m having trouble applying at once different transformers to columns with different types (text vs numerical), and concatenating such transformers in a single one for later use. I tried to follow the …
Wrapper for test_train_split to produce train, validation, and test splits for any number of input arrays
What is the right way to build wrappers around the test_train_split function with *args and **kwargs? To give more context, data science often require to create a test-validate-train split, so I …
Difference between GroupSplitShuffle and GroupKFolds
As the title says, I want to know the difference between sklearn’s GroupKFold and GroupShuffleSplit. Both make train-test splits given for data that has a group ID, so the groups don’t get separated …