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 …
A progress bar for scikit-learn? - Stack Overflow
Dec 13, 2015 · Is there any way to have a progress bar to the fit method in scikit-learn ? Is it possible to include a custom one with something like Pyprind ?
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 …
How to save a trained model by scikit-learn? - Stack Overflow
May 13, 2019 · I am trying to re-create the prediction of a trained model but I don't know how to save a model. For example, I want to save the trained Gaussian processing regressor model …
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, …
How to seed the random number generator for scikit-learn?
I'm not sure if it will solve your determinism problem, but this isn't the right way to use a fixed seed with scikit-learn. Instantiate a prng=numpy.random.RandomState(RANDOM_SEED) instance, …
How to fit a polynomial curve to data using scikit-learn?
Problem context Using scikit-learn with Python, I'm trying to fit a quadratic polynomial curve to a set of data, so that the model would be of the form y = a2x^2 + a1x + a0 and the an …
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 …
Find p-value (significance) in scikit-learn LinearRegression
Jan 13, 2015 · How can I find the p-value (significance) of each coefficient? lm = sklearn.linear_model.LinearRegression () lm.fit (x,y)
Python scikit learn MLPClassifier "hidden_layer_sizes"
Feb 12, 2016 · In the docs: hidden_layer_sizes : tuple, length = n_layers - 2, default (100,) means : hidden_layer_sizes is a tuple of size (n_layers -2) n_layers means no of layers we want as …