Questions tagged [scikit-learn-pipeline]
92 questions
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sklearn pipeline and grid search
from sklearn.linear_model import LogisticRegression
pipe4 = Pipeline([('ss', StandardScaler()), ('clf', knn)])
grid2 = GridSearchCV(pipe4, {'clf':[ knn, LogisticRegression()]})
grid2.fit(X_train, y_train)
pd.DataFrame(grid2.cv_results_).T
I made…
Nini
- 25
- 3
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Sklearn Pipeline / OneHotEncoder : consistency in getting categorical features with feature_names_in_ / get_feature_names_out()
Similar questions have been asked before, but this is a particular case, and it seems that sklearn has evolved quite a bit since then (I am using scikit-learn 1.1.2), so I think it is worth a new post.
I created an sklearn Pipeline in which I apply…
ThierryL
- 21
- 2
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SimpleImputer Error, instance is not fitted yet. Custom Transformer and pipeline
I am having issues creating a custom transform and pipeline. I keep getting the error after running my pipeline.
This SimpleImputer instance is not fitted yet. Call 'fit' with
appropriate arguments before using this estimator.
I know this has…
Julie
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- 1
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Problems with pipeline GradientBoostingClassifier
I am trying with a machine learning clasification problem.
The target is a multiclass, with 3 diferents class.
I have some problems with this pipeline, and I can not see what the problem is.
from sklearn.ensemble import…
Emi Colombo
- 11
- 1
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How to construct a wrapper over sklearn models
I'm trying to implement a pipeline consisting of several steps and for a few of the stages I need data in pandas format. Is it possible to implement a wrapper solution in sklearn where I can get "pandas in, pandas out" as a result of sklearn…
Anand
- 361
- 1
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Getting feature names and coefficients from lasso regression in sklearn pipeline
I have a pipeline that uses custom transformers as well.
Here is what the pipeline looks like:
feature_cleaner = Pipeline(steps=[
("id_col_remover", columnDropperTransformer(id_cols)),
("missing_remover",…
Obiii
- 698
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- 6
- 26
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How to iterate over different strategies in a list and different algorithms in a list using for loop?
I would like to collect the pipeline creation, KFold, and cross_val_score inside a for-loop; then iterate over different strategies in a list and different algorithms in a list.
What I did right now:
from sklearn.linear_model import…
resssslll
- 65
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- 7
0
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1 answer
Sklearn Pipeline is not converting catagorical values properly
I am trying to use Sklearn Pipeline methods before training multi ML models.
This is my code to for pipeline:
def pipeline(self):
self.numerical_features = self.X_train.select_dtypes(include='number').columns.tolist()
print(f'There…
Codeholic
- 184
- 1
- 10
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Can arguments be passed dynamically to outer pipeline which can be used by any steps inside it?
I have the following scenario:
num_cols = ["list", "of", "column", "names"]
cat_cols = ["different", "list", "of", "column", "names"]
col_transformer = ColumnTransformer([
('num', Scaler(), num_cols),
('cat', OneHotEncoder(),…
tharun-reddy
- 3
- 6
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scikit learn print(model) parameters dont show
I'm working trough the Wine Classification Challenge and I'm not getting the same summary when training the model and printing its params:
model = pipeline.fit(X_train, y_train)
print (model)
For some reason I get this summary of the model:
what I…
Carlos Ceron
- 1
- 1
0
votes
1 answer
Getting number of support vectors of a RBF SVC in a sklearn pipeline
Is it possible to get the number of support vectors and (or) their values for an RBF SVC when it is fit using a sklearn Pipeline object?
My pipeline looks like this
dim_reduction = TruncatedSVD( n_components = dim_reduction_n_comp, random_state =…
Shahnawaz
- 3
- 2
0
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1 answer
Very large and same predicitons by Linear Regression in Scikit pipeline
I have a LR pipeline that I train over a dataset and save it. DUring the training, I also test it on X_test and the predicitons look okay. SO I save the model as joblib and load again to do prediction on a data.
The predicitons on new data gives…
Obiii
- 698
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- 26
0
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1 answer
Custom ColumnTransformer notFittedError
I have a pipeline that consists of two custom column transformers, one of them is working while on another one it gives NotFittedError. Here is the ppl code:
class SkipSimpleImputer(SimpleImputer):
def __init__(self, **kwargs):
…
Obiii
- 698
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- 26
0
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1 answer
Unabl to use Lambda in Scikit learn Pipeline
I have a pipeline which uses lambda functions:
preprocess_ppl = ColumnTransformer(
transformers=[
('encode', categorical_transformer, make_column_selector(dtype_include=object)),
('zero_impute', fill_na_zero_transformer, lambda…
Obiii
- 698
- 1
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- 26
0
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0 answers
Python lzma unable to load joblib
I have a scikit learn pipeline that I serialize using:
with lzma.open('outputs/baseModel_LR.joblib',"wb") as f:
dill.dump(pipeline, f)
When I try to open the file and load the pipeline using:
with lzma.open('outputs/baseModel_LR.joblib',"rb")…
Obiii
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- 6
- 26