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 confusing, …
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, which uses the …
what is the difference between 'transform' and 'fit_transform' in sklearn
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 But what is …
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 module na...
ModuleNotFoundError: No module named sklearn - Stack Overflow
Aug 29, 2020 · When I run: from sklearn import datasets I get the error: ModuleNotFoundError: No module named 'sklearn' How can I solve this?
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 = iris.data...
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 method, but …
python - fit method in sklearn - Stack Overflow
from sklearn.decomposition import TruncatedSVD model = TruncatedSVD() svd_1 = model.fit(X1) svd_2 = svd_1.fit(X2) What is happening to svd_1? In other words, svd_1 has already been fitted and I fit it …
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 more than …
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)