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Questions tagged [sparse]

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How to implement CP tensor completion with extra calculations?

I am new to tensor decomposition. I want to know from a practical point of view, how to use an already known tool/library to compute CP factorization for tensor completion. Specifically, I want to ...
jjjj's user avatar
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1 answer
20 views

Why are some columns of feature matrix after dimentionality reduction zero?

I am trying to implement a paper in which the ultimate goal is to predict mutliple labels for instances (which are genes here). The feature matrix with shape of 1236*18930 is built by calculating term ...
Satarnejad's user avatar
1 vote
1 answer
129 views

Is it valid to use Spark's StandardScaler on sparse input?

While I know it's possible to use StandardScaler on a SparseVector column, I wonder now if this is a valid transformation. My reason is that the output (most likely) will not be sparse. For example, ...
user12138762's user avatar
0 votes
1 answer
222 views

Impact of many zeros in LightGBM Regressor training set [duplicate]

I have a LightGBM Regressor model with 15 features. 5 of these features have 98.7% NA for the training set. All five of the features are NA for each row. I impute the missing values with zero before I ...
ashton's user avatar
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1 vote
1 answer
1k views

Clustering for Sparse Data Matrix of high dimension

I currently have a dataset of 1000 entries with 512 features that are sparse. I want to cluster them. I have attempted using kmeans, but found that the clustering wasn't very good, and have been ...
Is land's user avatar
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0 votes
1 answer
53 views

ML/DL model needed to perform binary classification on binary input image dataset

I desperately need help regarding ML/NN models that would be appropriate for binary input data.. So, I have an image dataset in which [R,G,B] values can only take ...
Amadeo Amadei's user avatar
1 vote
0 answers
118 views

How to implement simple VAE with sparse tensor in Tensorflow

thanks for reading. I have been attempting to train a simple VAE on very sparse 2D and 3D data. So far I have been training using dense tensors which - I think - is resulting in horrible training due ...
Zephrom's user avatar
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1 vote
1 answer
370 views

Techniques for classification AI with sparse labels

I want to create an AI to classify images with a large set of labels (1000+ labels). However, the labels in the data set are correct but each image is not fully labelled. This means that each image's ...
Liam's user avatar
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1 vote
0 answers
41 views

Suggestions for binary time-series-classification model for small dataset

Hopefully I´m at the right place for my question: I´m looking for suggestions for models to use to classify multivariate time series. I´m trying to find a way of classifying the behaviour of motors ...
sensation96's user avatar
2 votes
1 answer
4k views

Best metric and hyperparameters in dimension reduction with UMAP for binary sparse data

I am playing with a dimensionality reduction step prior to clustering for a pretty large sparse binary matrix of almost 3000 columns and 50k rows. My idea is to embed the 3000 dimensions into a two-...
linello's user avatar
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1 vote
0 answers
100 views

Linear regression on sparse matrix?

I have a matrix with sparse data. A small extract from it is seen below. The columns represent years and the rows represent different race tracks. The feature values are velocities on that specific ...
Hanson's user avatar
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1 answer
360 views

Dictionary learning for image classification

I'm wondering if the approach I'm thinking of could even work. I want to use dictionary learning for image classification. The first step would be to learn the dictionary from a set of similar yet ...
Jakub Małecki's user avatar
1 vote
2 answers
819 views

Predicting high frequency sparse time series data in python

I have a dataset of a couple of EV charging stations (10 min frequency) over 1 year. This data consists of lots of 0's, since there is no continuous flow of cars coming to charge but rather ...
Ruben Kl's user avatar
1 vote
3 answers
981 views

How to create a big data frame in Python

I have a sparse matrix, $X$, created by TfidfVectorizer and its size is $(500000, 200000)$. I want to convert $X$ to a data frame but I'm always getting a memory error. I tried ...
user avatar
1 vote
1 answer
594 views

Predicting sparse time series data

I have a dataset of a couple of EV charging stations (10 min frequency) over 1 year. This data consists of lots of 0s, since there is no continuous flow of cars coming to charge, but rather ...
Ruben Kl's user avatar
0 votes
1 answer
68 views

How to work with input which is a combination of metadata+ vectorized text data + image pixel data to build a Regression Model (predict views)?

There are 4 datasets (all in csv format), each has a uniqueID column by which each record can be identified. Image and text datasets are dense datasets.(need to be converted to ndarray). Can someone ...
Mathew's user avatar
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2 votes
1 answer
1k views

Why do my target labels need to begin at 0 for sparse categorical cross entropy to work?

I'm following a guide here to implement image segmentation in Keras. One thing I'm confused about are these lines: ...
TomSelleck's user avatar
1 vote
1 answer
110 views

Anomaly detection on sparse categorical data

I have a big dataset with a column "clientid" and a categorical column "choice". I want to find out what are the clients that have strange combinations of choices (less frequent ...
DataLover's user avatar
0 votes
1 answer
213 views

Correlation/distance between sparse vectors

I am looking for a metric for comparing gene count tables. These are long columns of data (a few millions genes by a few dozen samples), with all non-negative entries, about 90% of which are zeros. ...
Roger V.'s user avatar
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1 vote
1 answer
923 views

unsupervised anomaly detection on sparse data

Given that I have a very sparse data matrix with continuous features, like this dataframe for example ...
greghouse1's user avatar
0 votes
1 answer
463 views

Softmax regression cost function code [closed]

I really do not understand what does this code do M = sparse.coo_matrix(([1]*n, (Y, range(n))), shape=(k,n)).toarray() The code is related to calculating the ...
Mostafa Atallah's user avatar
1 vote
0 answers
20 views

Autoencoder for Extremely Sparse Data

I am attempting to train an autoencoder on data that is extremely sparse. Each datapoint is only zeros and ones and contains ~3% 1s. Being that the data is mostly zero the autoencoder learns to ...
PDPDPDPD's user avatar
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0 answers
46 views

Classifying sparse binary data for int value

I'm very new to data science and still trying to get the grips. The problem I'm trying to tackle is, we have a pool of footballers from a league and data objects representing a group of 11 footballers ...
abdus_salam's user avatar
1 vote
0 answers
29 views

Sparse Covariance Selection

I was reading this article https://www.di.ens.fr/~aspremon/PDF/CovSelSIMAX.pdf, whose goal is to estimate the covariance matrix from a the sample covariance matrix drawn from a distribution $X$. ' ...
mbz0's user avatar
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1 vote
0 answers
46 views

Custom Loss Function for Mixing Sparse and Dense Features for a Prediction Problem

I have a largely uncorrelated feature space of about 40 dichotomous features, using which I'm trying to predict a continuous target variable. Now, some of these features are very sparse (Active less ...
Recyclops's user avatar
3 votes
0 answers
2k views

Converting pandas dataframe to scipy sparse arrays

Converting pandas data frame with mixed column types -- numerical, ordinal as well as categorical -- to Scipy sparse arrays is a central problem in machine learning. Now, if my pandas' data frame ...
learner's user avatar
  • 359
1 vote
1 answer
691 views

What are the sparse and dense vector ? I cant undestand ,can you explain to me?please.Why do we use for?

I am new to neural networks, embeddings, etc. I am struggling understanding things like sparse representation, embeddings, and especially sparse vectors. Could you explain these to me? Why do we need ...
Tugba Ozkan's user avatar
3 votes
1 answer
2k views

Convert Pandas Dataframe with mixed datatypes to LibSVM format

I have a pandas data frame with about Million rows and 3 columns. The columns are of 3 different datatypes. NumberOfFollowers is of a numerical datatype, UserName is of a categorical data type, ...
learner's user avatar
  • 359
1 vote
0 answers
322 views

Scipy Sparse vstack memory error

I have a bunch of scipy matrices (of the same #columns) loaded from disk. I want to combine them into one scipy sparse matrix. I am using scipy sparse vstack method. I am able to load the ...
SHASHANK GUPTA's user avatar