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Questions - dimensionality-reduction

GENSIM LDA topics with no probability assigned to it

I'm using LDA to discover topics in a BOW dataset. As I was testing the installation of the GENSIM library, I found no issue in the results of the example in their website ( https://radimrehurek.com/g...
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Spike

machine-learning

lda

topic-modeling

dimensionality-reduction

data-preprocessing

Votes: 0

Answers: 1

Latest Answer

The observation's incomplete topic distribution might have been solved by setting the following parameter in the GENSIM LDA object to 0 ( minimum_probability (float, optional) ).
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Spike

boolean index did not match indexed array along dimension 1; dimension is 2 but corresponding boolean dimension is 1

I'm trying to solve Dimensionality reduction using PCA and T-SNE. I am stuck at this step. the error is " IndexError: boolean index did not match indexed array along dimension 0; dimension is 180...
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SAI SURYA TEJA KORIPELLA

python

machine-learning

keras

pca

dimensionality-reduction

Votes: 0

Answers: 0

How to use output of TruncatedSVD() as input to neural network?

I have a dataset(contains sentences) on which I need to perform vectorization and then dimensionality reduction through TruncatedSVD() to reduce no. of features to 100. Then i want to use that svd ou...
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BISHAL Adhikari

machine-learning

scikit-learn

neural-network

svd

dimensionality-reduction

Votes: 0

Answers: 1

Latest Answer

Try MLPClassifier: from sklearn.decomposition import TruncatedSVD from sklearn.neural_network import MLPClassifier from sklearn.pipeline import Pipeline X_train, X_test, y_train, y_test = # Your data...
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Sanjar Adilov

t-SNE for multiple datasets in R

I have 7 datasets, each one of them have two types of dataframe: Metadata, contains a super important column that shows who is a responder and who is not, and a dataframe about cell types. Sample usin...
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Programming Noob

r

dimensionality-reduction

tsne

Votes: 0

Answers: 1

Latest Answer

So I finally got it, I will answer my own question in case anyone needs it in the future. The first thing I did is combine the cells data frames with cbind Scores = cbind(cells1, cells2, cells6, cells...
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Programming Noob

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