Questions tagged [mlxtend]
85 questions
0
votes
1 answer
How to add filler feature values for 10 features?
I'm trying to add filler feature values for my SVM non-linear decision boundary. I got this error Column(s) [1 5 6 7 8] need to be accounted for in either feature_index or filler_feature_values.
Here's my code:
import numpy as np
import pandas as…
Falady
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0
votes
1 answer
Stacking with original data by mlxtend or other tools
I want to predict result by meta-features made from stacking with original features.
I have used mlxtend for stacking, and I tried to use original features with meta-features but this library can't work well.
from lightgbm import LGBMRegressor
from…
k_trader
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- 10
0
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0 answers
Hot encode data for market basket data
I have a dataset on which I am trying to determine association rules. The data after the merging and mapping is as follows:
Transaction data snapshot
Following this reference: Market Basket Analysis in Python. I see that I can use the groupby method…
Syeman
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- 6
0
votes
1 answer
How mlxtend StackingRegressor with multiple cpu?
I would like to use mlxtend StackingRegressor to ensemble XGBoost,LGBM and Catboost .But I am not sure how much cpu I will use in this method.
For example:
In XGboost:
import xgboost as xgb
xgb_pars = {'nthread':…
Hq Li
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0
votes
1 answer
binary classification with mlxtend ensemblevoteclassifier with prefitted classifiers
I am using mlxtend EnsembleVoteClassifier to do a binary classification with prefitted linear SVC but I keep having a recurrent error :
ValueError: X.shape[1] = 352 should be equal to 336, the number of
features at training time
I load prefitted…
compmonks
- 647
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- 24
0
votes
0 answers
Windows 10 pip install not working Anaconda prompt
I am running Windows 10 and Installed Anaconda.
I know pip is there:
C:\Users\Rafay\Documents>pip --version
pip 9.0.1 from C:\Users\Rafay\Anaconda3\lib\site-packages (python 3.6)
I even activated the environment.
C:\Users\Rafay\Documents>conda env…
Rafay
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- 6
0
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1 answer
Pipeline with meta classifier
I am trying to train a meta classifier on different features from a pandas dataframe.
The features are either text or categorical in nature.
I am having issues with fitting the model, with the following error 'Found input variables with inconsistent…
shbfy
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0
votes
1 answer
How to correctly combine my classifiers?
I have to solve 2 class classification problem.
I have 2 classifiers that output probabilities. Both of them are neural networks of different architecture.
Those 2 classifiers are trained and saved into 2 files.
Now I want to build meta…
Vladimir Tsyshnatiy
- 989
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- 20
-1
votes
1 answer
ValueError: y must be an integer array. Found object. Try passing the array as y.astype(np.integer)
This is my code.
import pandas as pd
from sklearn.model_selection import train_test_split, cross_val_score
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.tree…
joon kim
- 19
- 3
-3
votes
1 answer
Mlxtend Apriori giving error with Sparse DataFrame
Issue with using sparse data frame with mlxtend apriori.
I am running python 2.7 in anaconda and have installed mlxtend. Based on the latest version of mlxtend, the aprioir class supports sparse dataframe as its input. I have over 500k products that…
Nitin Shah
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