Joblib is a set of tools to provide lightweight pipelining in Python.
Joblib is a set of tools to provide lightweight pipelining in Python.
Questions tagged [joblib]
715 questions
8
votes
1 answer
ModuleNotFoundError: No module named 'sklearn.linear_model._base'
I am trying to load a model saved as a .joblib file. I have tried pickle, sklearn.externals.joblib and joblib itself. All the same error. Below is an example of what I am trying to do.
clf = joblib.load("linear_regression_model.joblib")
This model…
Natalie
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8
votes
2 answers
How to implement parallel, delayed in such a way that the parallelized for loop stops when output goes below a threshold?
Suppose I have the following code:
from scipy import *
import multiprocessing as mp
num_cores = mp.cpu_count()
from joblib import Parallel, delayed
import matplotlib.pyplot as plt
def func(x,y):
return y/x
def main(y, xmin,xmax, dx):
x =…
user247534
- 103
- 8
8
votes
1 answer
Error pickling a `matlab` object in joblib `Parallel` context
I'm running some Matlab code in parallel from inside a Python context (I know, but that's what's going on), and I'm hitting an import error involving matlab.double. The same code works fine in a multiprocessing.Pool, so I am having trouble figuring…
mostsquares
- 834
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- 27
8
votes
1 answer
Load and predict new data sklearn
I trained a Logistic model, cross-validated and saved it to file using joblib module. Now I want to load this model and predict new data with it.
Is this the correct way to do this? Especially the standardization. Should I use scaler.fit() on my…
Marcos Santana
- 911
- 5
- 12
- 21
8
votes
2 answers
Joblib memory usage keeps growing
I have the following problem.
My purpose is to process a bunch of documents (bring all words to normal form, e.g. 'was' --> 'be', 'were' --> 'be', 'went' --> 'go').
Which means, I need to open each file in a directory, change its content and save…
fremorie
- 713
- 2
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- 20
8
votes
0 answers
using Joblib memory library with partial objects
I have a function with two parameters:
def foo(x,y):
# some complicated math
return result
and I define partials using the functools library:
f1 = partial(foo,1)
f2 = partial(foo,2)
Now I would like to use the joblib.Memory library to cache…
motam79
- 3,542
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- 34
- 60
8
votes
1 answer
Python multiprocessing (joblib) best way for argument passing
I've noticed a huge delay when using multiprocessing (with joblib). Here is a simplified version of my code:
import numpy as np
from joblib import Parallel, delayed
class Matcher(object):
def match_all(self, arr1, arr2):
args = ((elem1,…
Luigolas
- 366
- 2
- 9
7
votes
4 answers
Error , Unsuccessful TensorSliceReader constructor: Failed to find any matching files for ram to unpickle a file
I am running into this error , i can't unpickle a file on my jupyter notebook:
import os
import pickle
import joblib
import pandas as pd
from sklearn.preprocessing import MinMaxScaler
filename = open("loan_model3.pkl", "rb")
mdl =…
abdalla mahgoub
- 71
- 1
- 1
- 5
7
votes
4 answers
AttributeError: 'MinMaxScaler' object has no attribute 'clip'
I get the following error when I attempt to load a saved sklearn.preprocessing.MinMaxScaler
/shared/env/lib/python3.6/site-packages/sklearn/base.py:315: UserWarning: Trying to unpickle estimator MinMaxScaler from version 0.23.2 when using version…
Bobs Burgers
- 761
- 1
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- 26
7
votes
3 answers
How to parallelize the for loop inside a async function and track for loop execution status?
Recently, I have asked a question regarding how to track the progress of a for loop inside a API deployed. Here's the link.
The solution code that worked for me is,
from fastapi import FastAPI, UploadFile
from typing import List
import…
user_12
- 1,778
- 7
- 31
- 72
7
votes
5 answers
Cannot import Sklearn from sklearn.externals.joblib
I am a beginner and I just started with machine learning. I am trying to import classes like imputer from sklearn but i am unable to do it.
from sklearn.preprocessing import Imputer,LabelEncoder,OneHotEncoder,StandardScaler
ImportError: cannot…
Ayush Bajpayee
- 71
- 1
- 1
- 2
7
votes
2 answers
joblib parallel processing of a multiple return values function
I use joblib to parallelise a function (with multiprocessing). But, this function return 4 values but when I get the results from Parallel it gives me only 3 values
from joblib import Parallel, delayed
import numpy as np
from array import…
Doctor Pi
- 107
- 1
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7
votes
1 answer
Python Joblib Parallel: How to combine results per worker?
Context
I have a function that produces a large 2D numpy array (with fixed shape) as output. I am calling this function 1000 times using joblib (Parallel with a multiprocessing backend) on 8 CPUs. At the end of the job, I add up all the arrays…
Miguel
- 416
- 3
- 16
7
votes
2 answers
How to populate global variable with Python joblib?
I want to run some code in parallel and populate a global variable with the results in Python. I have written an example code to check the behavior of joblib, but I don't know how to get the results back. The example code is:
import numpy as…
angel.torrado
- 73
- 1
- 3
7
votes
2 answers
Error while using joblib with imported function
I'm using joblib to parallelize my python 3.5 code.
If I do:
from modules import f
from joblib import Parallel, delayed
if __name__ == '__main__':
Parallel( n_jobs = n_jobs,backend = "multiprocessing")(delayed(f)(i) for i in range( 10…
Grg
- 71
- 3