model-selection
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Hi,
I'm new to tpot but I got this error. I understand that score function can take strings, but I got the following error when using TPOTClassifier.
ValueError Traceback (most recent call last)
in
----> 1 tpot.score(X_test, y_test)~/miniconda3/envs/ml
After the visualizer audit we believe that the quick methods are ready to be made prime time.
Quick methods must:
- Have a function signature identical to the Visualizer constructor with additional data for fit/score
- Call
finalize()and notpoof()/show() - Return the fitted visualizer instance
- Some visualizers must also insure that they call transform/fit_transform/score
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
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Jan 27, 2020 - Jupyter Notebook
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
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Jan 21, 2020 - Python
Pers. comm. with Jeremy Brown:
Here are a few of the papers I mentioned when we chatted last week:
https://www.sciencedirect.com/science/article/pii/S0025556497000813
https://academic.oup.com/mbe/article/18/5/866/1018678
https://academic.oup.com/mbe/article/19/5/698/1067820
Figure taken from MrBayes manual:
" style wrapper function, instead helping users to find the correct sl3 idiom(s) to use in place of a given SuperLearner function or argument. An example of such would be the following:
A clear and concise description of what you would like to see added to BAS.
I think the bestmodel argument is not clearly explained if one wants to modify it, would it be possible to include an example of using it with something other than the default?
I understand it as being able to specify which model should come first but it's not clear how and I haven't been able to determine that.
A web app that helps Kickstarter creators increase their chances of being funded
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Jan 9, 2020 - Jupyter Notebook
Heuristic and inference engine for estimating the number of communities in a bipartite network
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Jan 13, 2020 - Python
Term 1 Project 3 Design a Sign Language Recognition System by Luke Schoen for Udacity Artificial Intelligence Nanodegree (AIND)
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Sep 3, 2019 - Jupyter Notebook
Genetic Algorithm in Python, which could be used for Sampling, Feature Select, Model Select, etc in Machine Learning
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Nov 27, 2019 - Python
Iterative hard thresholding as a multiple regression model for GWAS
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Jan 15, 2020 - Julia
This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates
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Oct 16, 2019 - Python
Sequential Monte Carlo sampler for PyMC2 models.
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Jun 18, 2019 - Python
Python 3.7 version of David Barber's MATLAB BRMLtoolbox
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Dec 7, 2019 - Python
PDSLASSO: Stata module for post-selection and post-regularization OLS or IV estimation and inference
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Jul 27, 2018 - Stata
Gaussian process regression + automatical model selection for logitudinal -omics data
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Dec 11, 2019 - MATLAB
R package for focused information criteria for model comparison
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Dec 2, 2019 - R
machine learning and data analysis wrote in python
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Dec 20, 2019 - Python
click-by-click interface for applied psychologists
Most applied psychologists are want to easy method to do their research with robust measurement theories. However, they feel hard to use the software. They do not have any experience with making their codes.
This is the website repository for the Stata packages lassopack & pdslasso. Please visit:
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Oct 16, 2019 - HTML
This repository provides commonly used modules from feature engineering to model training for machine learning tasks and kaggle competition.
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Oct 8, 2019 - Python
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The documentation doesn't appear to document how to use
.options(...)in any of the followingLess important, but we should also probably introduce
actor.method.options(...).remote()