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Hi everyone, I am trying to compute effect estimates for multiple continuous treatments, something like this:
`estimate_t1 = model.estimate_effect(identified_estimand,
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#### Description
The code [https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/decomposition/pca.py](url) currently supports only
> svd_solver : string {'auto', 'full', 'arpack', 'ran…
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Thanks for sharing of your work .
In the paper(View-Invariant Probabilistic Embedding forHuman Pose),the embeddings for action recogni-
tion is evaluated by using nearest neighbor search with the se…
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This my code and when I test this through vs code gives this error. no tests are discovered.
import os
import aimlflow
from aimlflow import AiService
import random, string
import pandas as pd
…
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The collector creates a reference data, but does not find it when I send data to it and, accordingly, the creation of the test suite or report crashes.
Version of Evidently UI, Collector and python…
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To make it easier for newcomers to start contributing to metric-learn, we should a developer page in the doc. This page should explain things like how to start contributing, how to compile the doc loc…
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# Tweet summary
Stable and not-overfitting approach to rank feature importance. Iterate feature importance test based on RandomForest or boosting methods with randomly generated additional "shadow" f…
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### Bug summary
`contour` (and friends) specify that a single string can be passed to `colors`:
> As a shortcut, single color strings may be used in place of one-element lists
But this only w…
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Currently the way to estimate the number of workers is using joblib.cpu_count. It uses multiprocessing, and hence gives a wrong answer when using another backend. We should provide a function that que…