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
0
votes
2 answers
FileNotFoundError: [WinError 2] The system cannot find the file specified while loading model from s3
I have recently saved a model into s3 using joblib
model_doc is the model object
import subprocess
import joblib
save_d2v_to_s3_current_doc2vec_model(model_doc,"doc2vec_model")
def save_d2v_to_s3_current_doc2vec_model(model,fname):
model_name…
Praneeth Sai
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0 answers
Best method to write to a numpy memmap, with parallelization
I am trying to write a large amount of data to a numpy memmap, and trying to speed it up using multiprocessing. Here is a minimal example of what I'm trying to do.
unProcessedData = np.memmap( 'file.memmap', dtype=np.uint16, mode='w+', shape=(…
SantoshGupta7
- 5,607
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0
votes
1 answer
How to list all staticmethods of a python class
I have a class somewhat like following:
from joblib import Memory
import time
def find_static_methods(cls):
# to be implemented
pass
class A:
def __init__(self, cache_path: str):
self._memory = Memory(cache_path, verbose=0)
…
Pushkar Nimkar
- 394
- 3
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0
votes
1 answer
PicklingError: Can't pickle : it's not found as __main__.mean_root_squared_error_func
I have created a custom scorer for the GridSearchCV function:
def mean_root_squared_error_func(y_true, y_pred):
return np.sqrt(mean_squared_error(y_true, y_pred))
This is how I call the function in my code
scoring_grid={'r_squared': "r2",
…
NikSp
- 1,262
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0
votes
1 answer
Is it possible to run python in parallel in azure vm?
I have a python script that runs programs in parallel using joblib and it works just fine (100% cpu consumption on local machine).
Lately, I've migrated the python script to data science virtual machine (DSVM) on azure but found that the…
Kelvin Ho
- 61
- 3
0
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0 answers
What is the fastest way to save and load a large data in Python 3?
I'm currently using pickle to save some big data which contains many numpy matrices of size 10k*10k. Even though I use several similar (separate) python files, whenever I save the data, the size of the saved dat file is always 4 GB. So, is that just…
Lynx
- 25
- 6
0
votes
2 answers
parallelize loop over dataframe itertuples() rows using joblib
I want to iterate over a data frame using itertuples(), the common way to do this:
for row in df.itertuples():
my_funtion(row) # do something with row
However now I wish to do the loop in parallel using joblib like this (which seems very…
German Farinas
- 61
- 5
0
votes
1 answer
How Can I Python Function Export and Recall (Pickle,Joblib,Dump)?
def square(a):
return a*a
joblib.dump(square,"squre.pkl")
joblib.load("square.pkl")(5)
output: 25
No problem when I call pickle in the same notebook. But when I open a different notebook(new notebook) and recall pickle, I get the following…
databenderr
- 41
- 7
0
votes
1 answer
When specifying say n_jobs=-1 in scikit-learn's packages, do we need to first import joblib.Parallel?
When using scikit-learn's packages which has the option to choose a value for n_jobs for parallel processing, do we need to first import joblib.Parallel or will the scikit-learn package work with parallel processing without needing to first import…
Leockl
- 1,906
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- 51
0
votes
1 answer
How to handle really large objects returned from the joblib.Parallel()?
I have the following code, where I try to parallelize:
import numpy as np
from joblib import Parallel, delayed
lst = [[0.0, 1, 2], [3, 4, 5], [6, 7, 8]]
arr = np.array(lst)
w, v = np.linalg.eigh(arr)
def proj_func(i):
return…
Leockl
- 1,906
- 5
- 18
- 51
0
votes
1 answer
How to parallelize multiplication of 2 elements in a nested list
How do I parallelize multiplication of 2 elements in a nested list. ie if my list is:
lst = [[1, 1], [1, 2], [1, 3], [2, 1], [2, 2], [2, 3], [3, 1], [3, 2], [3, 3]]
The output I want to get is:
[1, 2, 3, 2, 4, 6, 3, 6, 9]
where 1*1=1, 1*2=2,…
Leockl
- 1,906
- 5
- 18
- 51
0
votes
1 answer
EOFError when loading list of dicts with various datatypes
I have list of dicts, where each dict contains multiple different items. Its used as memory replay in training process of reinforcement learning and I need to create a backup file in case something interupts that process. Each dict represents one…
Tomas Trdla
- 1,142
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0
votes
1 answer
Why is python joblib parallel processing slower than single cpu?
I'm trying to understand why the parallel processing using joblib is slower than single cpu operation?
Below is my code.
from joblib import Parallel, delayed
import multiprocessing
import time
inputs = range(10000)
def processInput(i):
return i…
jon
- 429
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0
votes
1 answer
Assert that an object can be serialized using joblib
I want to test whether an object can be serialized using joblib(!). Something like:
assert pickle.dumps(my_obj)
seems to be the way using pickle but joblib doesn't provide .dumps. I tried to do:
with tempfile.TemporaryFile("wb") as f:
…
Dror
- 12,174
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0
votes
1 answer
Joblib: how to kill orphaned semaphores?
I have orphaned semaphores on a vm I would not like to reboot after signal inerrupting a joblib task.
kill pid
is not working. How do I kill the semaphores? they are locking out joblib parallelism.
Chris
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