Use this tag for questions regarding the use of the PyCaret machine learning library.
PyCaret is an open source, low-code machine learning library for Python.
Questions tagged [pycaret]
230 questions
0
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1 answer
UnboundLocalError: local variable 'fix_imbalance_model_name' referenced before assignment
Getting this error while initializing
fix_imbalance=True,fix_imbalance_method=smote Pycaret Classification Setup.
1735 else []
1736 )
-> 1737 + (
1738 [
1739 ["Transform Target",…
Scope
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0
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1 answer
how to get X_train,X_test,y_train, y_test from Pycaret?
can we get the X_train, y_train,X_test,y_test from a tuned model in pycaret?
I want the splits so that I can plot a few graphs which are not supported by plot_model in pycaret
Scope
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0
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1 answer
What is this paramater in Pycaret setup?
What are the values encoding_method can take for categorical encoding in setup, leaving the default leave one out method. I do not see the non default values it can take in the documentation
Scope
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0
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Pycaret time series cv and binary classification
is it possible to first use cross validation with ExpandingWindowSplitter on a time series dataset and then fit the folds on classification binary models?
Christian
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2 answers
Get parameter estimates from logistic regression model using pycaret
I am training and tuning a model in pycaret such as:
from pycaret.classification import *
clf1 = setup(data = train, target = 'target', feature_selection = True, test_data = test, remove_multicollinearity = True, multicollinearity_threshold =…
Gustavomoty
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0
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1 answer
Custom cross-validation and pycaret
I've been working with hierarchical time series, and, as a result, I needed to create my own CV to make sure that all timestamps and products are included evenly in the test (validation) set. It worked just fine for sklearn, but I can't make it work…
User
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2 answers
sklearn2pmml error with pycaret model to pmml : The object is not an instance of BaseEstimator
creating a model using pycaret with no issue so far (trained a bunch of different models) but when using catboost, I cannot save to pmml. This very same code worked for xgboost and lightgbm with the same data.
from sklearn2pmml.pipeline import…
Forge
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0
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1 answer
PyCaret on Google Colab: "Estimator xgboost not available"
I have installed pycaret and xgboost as follows:
!pip install pycaret==2.3.10 markupsafe==2.0.1 pyyaml==5.4.1 --use-deprecated=legacy-resolver -qq
!pip install xgboost
But when I try to create the following Xgboost model, it throws an error…
the real deal
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- 1
0
votes
1 answer
Pycaret plot_model not properly
I got this error code when i try to use plot_model()
---> 16 from scipy.fftpack.helper import _init_nd_shape_and_axes_sorted
17 from numpy import (allclose, angle, arange, argsort, array, asarray,
18 atleast_1d,…
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2 answers
test/train splits in pycaret using a column for grouping rows that should be in the same split
My dataset contains a column with some data I need to use for splitting by groups in a way that rows belonging to same group should not be divided into train/test but sent as a whole to one of the splits using PYCARET
10 row sample for…
Forge
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0
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2 answers
How to print the prediction interval (upper and lower bound) in pycaret-ts-alpha
I want to know how to determine the prediction interval (upper and lower bound) in pycaret-ts-alpha.
I am only trying to forecast one point value, but I need to determine it's upper and lower bound.
Thanks!
Ahmed Ewis
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0
votes
1 answer
Should tune_model be Called After compare_models in PyCaret?
With pycaret, it is possible to call the compare_models() function and get the model that best fits our data. This will look something like this,
# load dataset
from pycaret.datasets import get_data
diabetes = get_data('diabetes')
# init setup
from…
Minura Punchihewa
- 1,498
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0
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2 answers
When I use Pycaret predict_model(dt,data=data_unseen) to analyze only one row appears
I use Python pycaret module to analyze big set of data. I did setup, compare_model, create_model correctly, but when I try to use model I created to predict the unseen_date I splite from beginning, there is only one row come, there is supposee 100k…
zheming zhang
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1 answer
How to skip pycaret data type validation step in docker
While we create a pycaret setup, e.g.:
from pycaret.regression import all
exp_reg101 = setup(data = data, target = 'Price', session_id=123,preprocess=False)
It will ask us to verify the data types like this; i.e:
Following data types have been…
0
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0 answers
bad practice importing pycaret from official docs
Read all documentation from pycaret and many tutorials and examples.
https://pycaret.gitbook.io/docs/get-started/tutorials
All of them started this way:
#For Regression
from pycaret.regression import *
#For Classification
from…
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