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From VSCode using SQLite3 Editor, show your unique collection/table in database, display rows and columns in the table of the SQLite database.:
 into python and we wanted to add it as a pull request to `statsmodels`. It's stil…
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I think our PenalizedMixin is underused and not very convenient.
We need specific classes to make it more usable, and so we can start to collect more post-estimation results.
e.g. adding penalizat…
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Probably a general and naive question, but I recently used caretEnsemble (both caretList and caretStack functions) for a classification analysis with the new version 4.0.1, but when comparing the resu…
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This project conducts a comprehensive analysis of Twitter data, encompassing data preprocessing, sentiment analysis, user categorization and machine learning modeling. It begins by cleaning and prepar…
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##### Description
The EPIC Variability Extraction and Removal for Exoplanet Science Targets (EVEREST) pipeline "de-trends K2 light curves with pixel level decorrelation and Gaussian processes". Th…
gully updated
6 years ago
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A function ("linear_model_fit") is proposed for least squares fits to linear models. The main difference (which increases functionality) with respect to SAGE's "find_fit" function is that "linear_mo…
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### The Issue
We have altered `dna/database_to_json.py` to now pull its data from a local mirror of the D3M Metalearning Database. The data in that database has a little more variety than the data …
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Add beta coefficients (coefficients for standardized data) as a post-estimation results method.
API: return similar to t_test with params table, summary, summary_frame
Most likely this can inter…
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## Problem
R2 is affected by the absence of an intercept:
``` r
data
within({
M = model.matrix(~1 + hp)
})
m1 of shorter
#> Warning: Some model terms could not be found in mod…