Neuraxle is a sklearn-like machine learning pipeline library for Python with improved functionalities for Deep Learning and complex pipelining. The project is open-source and commercially usable (Apache 2.0 license).
Questions tagged [neuraxle]
23 questions
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1 answer
Using fit_params in neuraxle pipeline
I want to use a classifier, e.g. the sklearn.linear_model.SGDClassifier, within a neuraxle pipeline and fit it in an online fashion using partial_fit. I have the classifier wrapped in an
SKLearnWrapper with use_partial_fit=True, like this:
from…
eL_BaRTo
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1 answer
How to implement a repository for lazy data loading with neuraxle?
In the neuraxle documentation there is an example shown, using a repository for lazy loading data within a pipeline, see the following code:
from neuraxle.pipeline import Pipeline, MiniBatchSequentialPipeline
from neuraxle.base import…
eL_BaRTo
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1
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n_jobs > 1 using sklearn and pytorch is possible inside Neuraxle?
I built my own sklearn-like estimator using pytorch training inside GPU (cuda) and it works fine with RandomizedSearchCV when n_jobs==1. When n_jobs > 1, I get the following error:
PicklingError: Can't pickle : attribute lookup…
patrickctrf
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1 answer
How to correctly implement a Neuraxle pipeline step that filters data_inputs?
I am trying to implement a BaseStep in neuraxle (0.5.2) that filters data_input (and expected_output accordingly).
class DataFrameQuery(NonFittableMixin, InputAndOutputTransformerMixin, BaseStep):
def __init__(self, query):
…
sim
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Installation of Neuraxle package with dependencies conflicts
Trying to install Neuraxle, I am facing to conflict caused by dependencies:
neuraxle 0.8.1 depends on markupsafe==2.0.1
jinja2 3.1.2 depends on MarkupSafe superior or =2.0
werkzeug 2.2.2 depends on MarkupSafe superior or =2.1.1.
Is…
FGTPM34
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Tensorflow causes errors in scikit-learn
When I import scikit-learn before importing tensorflow I don't have any issues. Running this block of code produces an output of 1.7766212763101197e-12.
import numpy as np
np.random.seed(123)
import numpy.random as rand
from sklearn.decomposition…
user9431424
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1 answer
Python multiprocessing.Lock is Noned upon parallelizing despite passing it as target function argument
Passing multiprocessing.Lock (or RLock) to multiprocessing.context.Process fails with None value for the lock
I tried many things over several hours. Nothing worked.
At first I had picking errors with the ForkingPickler. Then I saw some other SO…
Guillaume Chevalier
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Neuraxle AutoML - Why is it erroring?
I am experimenting with Neuraxle following the AutoML example.
The unmodified example works fine.
When i modify it to include my own pipeline components ahead of the ChooseOneStepOf(classifiers) it fails and I dont understand why.
from neuraxle.base…
Simon Taylor
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