I’m trying to use Canonical Correlation Analysis (CCA) in scikit-learn. Still, I’m getting a TypeError, which asserts inverse_transform() takes 2 positional arguments but 3 were given. Here is my code: And the last line throws a TypeError: It’s ridiculous since I passed two arguments exactly…
Tag: scikit-learn
Strange results when scaling data using scikit learn
I have an input dataset that has 4 time series with 288 values for 80 days. So the actual shape is (80,4,288). I would like to cluster differnt days. I have 80 days and all of them have 4 time series: outside temperature, solar radiation, electrical demand, electricity prices. What I want is to group similar …
create an array or dataframe using different variables from nested for loop in python
How do I create an array or dataframe to store seedN, clf.score(X_test, y_test),n_neighbors? Answer Create a temporary empty list to store the results : For each fit, add a new list with the desired values : Finally, create the dataframe with this temporary list :
Is preprocessing repeated in a Pipeline each time a new ML model is loaded?
I have created a pipeline using sklearn so that multiple models will go through it. Since there is vectorization before fitting the model, I wonder if this vectorization is performed always before the model fitting process? If yes, maybe I should take this preprocessing out of the pipeline. Answer When you ar…
sklearn2pmml not giving the same prediction output as sklearn pickle after loading it with pypmml
When testing a PMML object previously converted from a Pickle file (dumped from a sklearn fitted object), I am unable to reproduce the same results as with the pickle model. In the sklearn we see I obtain [0 1 0] as classes for the input given in X. However in PMML I would approaximate the probabilities to [1…
Custom Transformer Class Inheritance [closed]
Closed. This question needs debugging details. It is not currently accepting answers. Edit the question to include desired behavior, a specific problem or error, and the shortest code necessary to reproduce the problem. This will help others answer the question. Closed 6 months ago. Improve this question I…
cant print sfs features selected in pipeline
I am selecting best features and then doing grid search. When finished, I want to print the best features that have been selected. When trying to print with I get the following error Ive also tried but have gotten an error. Answer The grid search clones its estimator before fitting, so your pipe itself remain…
why i can’t predict my x value in linear regression model using reg.predict ( )
Answer You provide a scalar value to .predict method. You need to provide a 2-dimensional array:
Sklearn – Best estimator from GridSearchCV with refit = True
I’m trying to finds the best estimator using GridSearchCV and I’m using refit = True as per default. Given that the documentation states: Should I do .fit on the training data afterwards as such: Or should I do it like this instead: Answer You should do it like your first verison. You need to alwa…
Python OOP using sklearn API
I want to learn more advanced OOP methods and create a class using sklearn APIs, my idea is to integrate feature selection methods. I want to be able to call a feature selection method by name, and next fit and transform data. I am not sure, what I am doing wrong but currently, I have the following error that…