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Hi,
In the read me file it was said "Pre-trained classifiers for document type and clause type". can anyone from LexNLP help me to find what API to use and also what kind of clauses it will find…
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a rough idea
goal: to provide improved unit detection by combining results from multiple spike sorting algorithms.
It closely relates to the idea of a metric to provide upper bound of accuracy for…
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Hi there:
I am using a really big jungle of single classifiers for an ensemble voting, something like:
emclf = VotingClassifier(estimators=est_list,n_jobs=-1)
the est_list has about 300 classifiers.
…
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The translator has been updated to process IDL files and use that information to fill in data subcomponents and to specify in AADL what specific data classifiers represent in terms of integer, floatin…
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Hello everyone,
I am looking at the tutorial http://www.clips.ua.ac.be/pages/pattern-vector#classification and I dont see any function that returns the list of (say top 100) features that can help pr…
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Hi,
I am working with NB, but I get this error: Fatal error: Uncaught Rubix\ML\Exceptions\InvalidArgumentException: Naive Bayes (priors: [spam: 0.3, not spam: 0.7], smoothing: 2.5) is incompatible …
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I ran "hatch new --init" and found the comments in the requirements files are also included in the generated project.toml file. This would fail the command `python -m build`.
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### Describe the workflow you want to enable
I would like to be able to use a LabelEncoder as a wrapper for a classifier, similarly to what can be achieved with preprocessors on the y value for regre…
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Hello,
We have been wanting to give 16S-ITGDB a shot using QIIME2, but are unfortunately running into some issues.
First off, your trained classifier is unfortunately not compatible with qiime2 v…
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Dear Collin,
I want to run 2020puls using my own pan-cancer data without silent mutations(total mutation num >130, 000) to predict oncogene and TSG of Pan-cancer and type specific cancer. Should …