TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Questions tagged [tpot]
46 questions
0
votes
2 answers
TPOT for hyperparameter tuning
I want to used TPOT for hyperparameter tunning of model. I know that TPOT can give me best machine learning pipeline with best hyperparameter. But in my case I have pipeline and I want to just tune its parameter
my pipeline is as…

rohit choudhari
- 13
- 3
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Dynamically import libraries to fit pipelines stored in string format in csv file
I am using TPOT and Auto-Sklearn on a custom dataset to evaluate each pipeline they create by its accuracy and the feature importance. I have iteratively fitted a classifier and stored all the pipelines as well as their accuracies in a csv file.…

Muhammad Hassan
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Increasing Storage Space on EC2 instance AWS to fix Kibana read-only error
I am currently using an EC2 instance on AWS to host a network using T-pot and therefore Kibana. I have run out of storage space on the hosted machine, giving this error when trying to load statistical data:
[esaggs] > EsError: index [.async-search]…

Max Davies
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Can't pickle of TPOTRegressor with Multioutputregressor
my code is as below..
model = TPOTRegressor()
multi_model = MultiOutputRegressor(model).fit(x_train, y_train)
joblib.dump(multi_model , './multi_model.pkl')
Training is working OK.. However, it can't save and shows errors as below..
How to save…

MCPMH
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- 11
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1 answer
TPOT and Dask-Distributed, only utilizing one worker machine when 2 are connected to scheduler?
PROBLEM DESCRIPTION
I'm new to running dask-distributed with TPOT (although fairly seasoned in TPOT on a single machine). I'm trying to set up two worker machines (separate computers) to work with my TPOT run, however only one worker is actually…

wildcat89
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Unable to import tpot
I tried to install TPOT as per http://epistasislab.github.io/tpot/installing/
I had trouble installing DEAP, so I had installed setuptools==58. Both tpot and DEAP installed.
After installation, when I ran "import tpot", I get the following…

geoabram
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1 answer
How to nest multiple regression functions of Sklearn?
I am trying to implement a nested regression model separately which I got as an output from TPOT. The output of TPOT is:
RandomForestRegressor(XGBRegressor(XGBRegressor(**args1), **args2), **args3)
My code is so far:
from xgboost import…

Debayan Paul
- 95
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- 9
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1 answer
Shap or Lime with TPOT classifier
How would you go about using shap or lime or any other model interpretability tools with a TPOT exported pipeline? For example, here is some code for shap library, but you cannot pass the TPOT pipeline in to it. What would you pass in there…

aleinikov
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1 answer
ValueError: Not all operators in None supports sparse matrix. Please use "TPOT sparse" for sparse matrix
I am trying to do text classification with TPOT. I know you can save the vocabulary for the TfidfVectors but I am having some issues with getting the results for my model.
from sklearn.feature_extraction.text import CountVectorizer,…

Juanvulcano
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2 answers
TPOT: TPOTRegressor is showing Name Error
Here is the code I am running about TPOTRegressor.
from tpot import TPOTRegressor
from sklearn.datasets import load_boston
from sklearn.model_selection import train_test_split
housing = sklearn.datasets.load_boston()
X_train, X_test, y_train,…

sdatta
- 11
- 1
0
votes
1 answer
Cannot import pandas: ImportError: cannot import name 'ops'
I am not able to import pandas in the conda environment py35 in a virtual machine. I get this error in the notebook, I started getting this error after I conda force installed tpot package.
After I conda force installed tpot, I conda force installed…

Christa
- 643
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0 answers
how to generate the confusion matrix through cross validation in python?
I am using the iris flower dataset to do the sorting. I need to make a confusion matrix through cross validation (fold = 10) but I don't know how to do it. I generated the confusion matrix of only one round.
# I am using TPOT autoML library…

Jane Borges
- 552
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2 answers
RuntimeError: A pipeline has not yet been optimized. Please call fit() first.Problem with TPOT Automated Machine Learning in Python
When executing a sample code, I am encountering the following problem: "RuntimeError: A pipeline has not yet been optimized. Please call fit() first.
The Problem with TPOT Automated Machine Learning in Python.
I am trying to make the example:…

Jane Borges
- 552
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- 14
0
votes
1 answer
tpot: Use multi-output regressors only
I want to use tpot. The data I have includes multi-output continuous variables only (i.e. output shape is: (n_samples, n_output_variables), where all items are floats).
This could be achievable using sklearn's MultiOutputRegressor class. But because…

DaveTheAl
- 1,995
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1 answer
TPOT model in google ml-engine
I have a trained model using TPOT. When I tried loading the model to ml-engine it says:
No module named tpot.builtins.stacking_estimator
The error makes sense since TPOT is an external package, not included in Cloud ML Engine runtime versions. Is…

A. Sen
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