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On my dataset machineJS failed because it was trying to use negative X values with multinomial Naive Bayes classifier.
Suggested solutions:
- Skip MultinomialNB when some of the features have negati…
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I hear that using [odds ratio](https://en.wikipedia.org/wiki/Odds_ratio) for feature selection with Naive Bayes isn't that useful, but perhaps the [chi-squared test](https://en.wikipedia.org/wiki/Pear…
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### ML-Crate Repository (Proposing new issue)
:red_circle: **Project Title** : Gemini Generated Essays Analysis
:red_circle: **Aim** : The aim of this project is to analyze the essays generated by G…
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@codemzs Not finding multinomial NB as part of the ML.Net algorithms which we use for intent detection.
From nb sci kit learn libraries:
https://scikit-learn.org/stable/modules/generated/sklea…
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I think this warrants creating an event space protocol.
see #2
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**Student**
- Miloš Đurić RA217/2020
**Asistent**
- Aleksandar Vujinović
**Problem koji se rešava**
- Cilj projekta je korišćenje algoritama za klasifikaciju delova teksta iz srpskih naučnih …
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great code thanks
may you clarify :
will it work for multivariate time series prediction both regression and classification
each row means the time series, and columns represent different cont…
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Phoronix was unable to successfully run some of the renaissance modules with openj9 in its latest Java benchmark:
dec-tree - Runs the Random Forest algorithm from the Spark ML library.
movie-lens …
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Hi,
Pipe operator `mlr3pipelines::PipeOpTextVectorizer` is painfully slow in comparison with `quanteda::dfm()`:
````
library(mlr3)
library(mlr3learners)
library(mlr3pipelines)
library(quante…