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### Feature Name
Add Naive Bayes Visualizations
### Feature Description
Add the Naive Bayes algorithm for classification tasks. This probabilistic classifier will be based on applying Bayes' theore…
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Running the Notbook for chapter 11, I get the following error:
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ModuleNotFoundError Traceback (most…
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All other algos accept key argument except naive bayes
User is driving h2o from scala
{code:java}
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import org.apache.spark.SparkFiles
import org.apache.spark.h2…
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Implementation of Naive bayes to identify Malignant or Benign
Goal: have high accuracy, besides high precision and recall metrics.
Comment down below if you are a GSSoc'22 participant and would …
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Now, the basic frame has been finished, and a basic ML algorithm k-means has been distributed using existing APIs, so try to distribute Naive Bayes, and let me know:
- what other APIs are needed?
…
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Is there more information on how to train the classifier?
I see in the source classifier.json is currently private, which explains the broken links on the site.
The source indicates removing cla…
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### Idea Title
Implement Naive Bayes Algorithm
### Idea Description
The Naive Bayes algorithm is a supervised machine learning technique used for classification tasks based on Bayes' theorem. It as…
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In the code, the datasets are being mounted from google drive which takes more time and lags execution time. Instead the datasets are present in Data directory so fetching from it will be more feasibl…
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> When we attempt to classify a document, we multiply a lot of probabilities together to
get the probability that a document belongs to a given class. This will look something
like p(w0|1)p(w1|1)p(w…
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Hello the h20 team. Thanks for this wonderful package!
I was simply wondering if there is a tutorial somewhere that shows how we can use `h20` to perform a full naive bayes text classification mode…