Difference between scikit-learn and sklearn (now deprecated)
Regarding the difference sklearn vs. scikit-learn: The package "scikit-learn" is recommended to be installed using pip install scikit-learn but in your code imported using import sklearn. A bit …
fit () vs fit_predict () methods in sklearn KMeans
Mar 25, 2021 · KMeans is just one of the many models that sklearn has, and many share the same API. The basic functions are fit, which teaches the model using examples, and predict, …
pip install sklearn: Cannot install sklearn - Stack Overflow
Jan 13, 2024 · As stated in the error: 'sklearn' PyPI package is deprecated, use 'scikit-learn' rather than 'sklearn' for pip commands Therefore try: pip install scikit-learn
ImportError: No module named sklearn (Python) - Stack Overflow
Apr 4, 2016 · I wanna use scikit-learn. I have typed pip install -U scikit-learn pip3 install sklearn to install it; but when i type $ Python >>> import sklearn it returns ImportError: No …
what is the difference between 'transform' and 'fit_transform' in …
May 24, 2014 · In the sklearn-python toolbox, there are two functions transform and fit_transform about sklearn.decomposition.RandomizedPCA. The description of two functions are as follows …
Stratified Train/Test-split in scikit-learn - Stack Overflow
X, Xt, userInfo, userInfo_train = sklearn.cross_validation.train_test_split(X, userInfo) However, I'd like to stratify my training dataset. How do I do that? I've been looking into the StratifiedKFold …
ImportError: cannot import name 'joblib' from 'sklearn.externals'
May 19, 2020 · I am trying to load my saved model from s3 using joblib import pandas as pd import numpy as np import json import subprocess import sqlalchemy from sklearn.externals …
Parameter "stratify" from method "train_test_split" (scikit Learn)
I am trying to use train_test_split from package scikit Learn, but I am having trouble with parameter stratify. Hereafter is the code: from sklearn import cross_validation, datasets X = …
python - How to use sklearn fit_transform with pandas and return ...
Mar 1, 2016 · Edit 2: Came across the sklearn-pandas package. It's focused on making scikit-learn easier to use with pandas. sklearn-pandas is especially useful when you need to apply …
Find p-value (significance) in scikit-learn LinearRegression
Sep 8, 2021 · How can I find the p-value (significance) of each coefficient? lm = sklearn.linear_model.LinearRegression () lm.fit (x,y)