classification | Catalyst.Classification | Machine Learning library

by catalyst-team Shell Version: Current License: Apache-2.0

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kandi X-RAY | classification Summary

classification is a Shell library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Keras applications. classification has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Note: this repo uses advanced Catalyst Config API and could be a bit out-of-day right now. Use Catalyst's minimal examples section for a starting point and up-to-day use cases, please. You will learn how to build image classification pipeline with transfer learning using the Catalyst framework to get reproducible results.

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Support

classification has a low active ecosystem.

It has 35 star(s) with 10 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 12 have been closed. On average issues are closed in 46 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of classification is current.

Quality

classification has no bugs reported.

Security

classification has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

classification is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

classification releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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classification Key Features

No Key Features are available at this moment for classification.

classification Examples and Code Snippets

No Code Snippets are available at this moment for classification.

Community Discussions

Trending Discussions on classification

Tidymodels / XGBoost error in last_fit with rsplit value

Keras model not compiling

How to get indices of instances during cross-validation

Pandas: Insert a new Column based on description of previous column

Can I use a convolution filter instead of a dense layer for clasification?

Is it possible to combine 2 neural networks?

How and where can i freeze classifier layer?

Having trouble with XML phase on VBA Excel

How can I delete rows if a column contains a certain value?

Is there some way to simplify access to the first member of a group in a LINQ GroupBy query?

QUESTION

Tidymodels / XGBoost error in last_fit with rsplit value

Asked 2021-Jun-15 at 04:08

I am trying to follow this tutorial here - https://juliasilge.com/blog/xgboost-tune-volleyball/

I am using it on the most recent Tidy Tuesday dataset about great lakes fishing - trying to predict agency based on many other values.

ALL of the code below works except the final row where I get the following error:

...

ANSWER

Answered 2021-Jun-15 at 04:08

If we look at the documentation of last_fit() We see that split must be

An rsplit object created from `rsample::initial_split().

You accidentally passed the cross-validation folds object stock_folds into split but you should have passed rsplit object stock_split instead

Source https://stackoverflow.com/questions/67978723

QUESTION

Keras model not compiling

Asked 2021-Jun-14 at 07:01

I am trying to build a Keras model for a classification model and I get and error while I am trying to fit the data.

ValueError: Shapes (None, 99) and (None, 2) are incompatible

Code:

...

ANSWER

Answered 2021-Jun-14 at 07:01

The no. of units in the last Dense layer must match the dimensionality of the outputs.

Source https://stackoverflow.com/questions/67964504

QUESTION

How to get indices of instances during cross-validation

Asked 2021-Jun-13 at 17:04

I am doing a binary classification. May I know how to extract the real indexes of the misclassified or classified instances of the training data frame while doing K fold cross-validation? I found no answer to this question here.

I got the values in folds as described here:

...

ANSWER

Answered 2021-Jun-13 at 17:04

From cross_val_predict you already have the predictions. It's a matter of subsetting your data frame where the predictions are not the same as your true label, for example:

Source https://stackoverflow.com/questions/67956643

QUESTION

Pandas: Insert a new Column based on description of previous column

Asked 2021-Jun-13 at 15:51

I have a dataset of around 2800 records. I have a column called as 'Trigger-catogory' which is a Multi-class classification field with one of the attribute being 'CLI-Related' The dataset has a 'Headline' column and going through the headline i want to further classify it . I have written a code as below

...

ANSWER

Answered 2021-Jun-13 at 15:51

use vectorized way via np.select to insert a new column:

Source https://stackoverflow.com/questions/67959492

QUESTION

Can I use a convolution filter instead of a dense layer for clasification?

Asked 2021-Jun-13 at 08:50

I was reading a decent paper S-DCNet and I fell upon a section (page3,table1,classifier) where a convolution layer has been used on the feature map in order to produce a binary classification output as part of an internal process. Since I am a noob and when someone talks to me about classification I automatically make a synapse relating to FCs combined with softmax, I started wondering ... Is this a possible thing to do? Can indeed a convolutional layer be used to classify a binary outcome? The whole concept triggered my imagination so much that I insist on getting answers...

Honestly, how does this actually work? What is the difference between using a convolution filter instead of a fully connected layer for classification purposes?

Edit (Uncertain answer on how does it work): I asked a colleague and he told me that using a filter of the same shape as the length-width shape of the feature map at the current stage, may lead to a learnable binary output (considering that you also reduce the #channels of the feature map to a single channel). But I still don't understand the motivations behind such a technique ..

...

ANSWER

Answered 2021-Jun-13 at 08:43

Using convolutions as FCs can be done (for example) with filters of spatial size (1,1) and with depth of the same size as the FC input size.

The resulting feature map would be of the same size as the input feature map, but each pixel would be the output of a "FC" layer whose weights are the weights of the shared 1x1 conv filter.

This kind of thing is used mainly for semantic segmentation, meaning classification per pixel. U-net is a good example if memory serves.

Also see this.
Also note that 1x1 convolutions have other uses as well.
paperswithcode probably some of the nets there use this trick.

Source https://stackoverflow.com/questions/67525656

QUESTION

Is it possible to combine 2 neural networks?

Asked 2021-Jun-13 at 00:55

I have a NET like (exemple from here)

...

ANSWER

Answered 2021-Jun-07 at 14:26

The most naive way to do it would be to instantiate both models, sum the two predictions and compute the loss with it. This will backpropagate through both models:

Source https://stackoverflow.com/questions/67872719

QUESTION

How and where can i freeze classifier layer?

Asked 2021-Jun-12 at 20:29

If I need to freeze the output layer of this model which is doing the classification as I don't need it.

...

ANSWER

Answered 2021-Jun-11 at 15:33

You are confusing a few things here (I think)

Freezing layers

You freeze the layer if you don't want them to be trained (and don't want them to be part of the graph also).

Usually we freeze part of the network creating features, in your case it would be everything up to self.head.

After that, we usually only train bottleneck (self.head in this case) to fine-tune it for the task at hand.

In case of your model it would be:

Source https://stackoverflow.com/questions/67939448

QUESTION

Having trouble with XML phase on VBA Excel

Asked 2021-Jun-12 at 17:26

I need to parse a XML file having the structure as follows: (I can't show the data as it is confidential)

...

ANSWER

Answered 2021-Jun-12 at 17:26

As mentioned in comments your xml document has namespace definitions in its DocumentElement (xmlns stands for xml name space). Furthermore "it contains a default namespace so any attempted parsing on named nodes must map to this namespace URI otherwise returns nothing."

To allow eventual analysis it's necessary to include a user defined prefix (e.g. :s) into explicit namespace settings, which can be used in later XPath expressions:

Source https://stackoverflow.com/questions/67949350

QUESTION

How can I delete rows if a column contains a certain value?

Asked 2021-Jun-11 at 16:23

I have a data frame that has a classification column which contains four values: D1, D2, D8, and RD.

I want to remove all records (rows) where the classification is either D1 or RD.

I have tried this:

...

ANSWER

Answered 2021-Jun-11 at 10:34

It's better to think "how do I create an object in the form I want", than "how do I manipulate this object in place". So you can use the following syntax:

Source https://stackoverflow.com/questions/67935426

QUESTION

Is there some way to simplify access to the first member of a group in a LINQ GroupBy query?

Asked 2021-Jun-11 at 15:04

I have the following LINQ statement that collects the results by the Site:

...

ANSWER

Answered 2021-Jun-11 at 15:04

You can do that by additional Select:

Source https://stackoverflow.com/questions/67920276

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install classification

You can download it from GitHub.

Support

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