mltools | Machine Learning Tools for object detection | Machine Learning library

by DigitalGlobe Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | mltools Summary

mltools is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. mltools has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Tools for fast prototyping of object detection and classification solutions on DG imagery. Relies heavily on popular machine learning (ML) toolkits such as scikit-learn and deep learning toolkits such as keras. The intent is to use mltools to experiment with algorithms; when these are mature, they can be baked into GBDX tasks and deployed at scale on GBDX.

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Quality

Security

License

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Support

mltools has a low active ecosystem.

It has 77 star(s) with 39 fork(s). There are 14 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 2 have been closed. On average issues are closed in 18 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of mltools is current.

Quality

mltools has 0 bugs and 0 code smells.

Security

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

mltools code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

mltools is licensed under the MIT License. This license is Permissive.

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

Reuse

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

Build file is available. You can build the component from source.

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

mltools saves you 300 person hours of effort in developing the same functionality from scratch.

It has 724 lines of code, 30 functions and 8 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed mltools and discovered the below as its top functions. This is intended to give you an instant insight into mltools implemented functionality, and help decide if they suit your requirements.

Calculate the minimum region of the image
Calculate the spectral angles of the data
Calculate the ratio of band1 and band2
Filters input file to a geojson
Find unique values in a geojson file
Generates a generator of uniform chips from the input file
Get image data from a polygon list
Get image data from shapefile
Get data from a GeoJSON file

Get all kandi verified functions for this library.

mltools Key Features

No Key Features are available at this moment for mltools.

mltools Examples and Code Snippets

No Code Snippets are available at this moment for mltools.

Community Discussions

Trending Discussions on mltools

One hot fail - windows does not do one hot encoding

Matthews correlation coefficient function (mcc) in R doesn't work

one hot encode each column in a Int matrix in R

QUESTION

One hot fail - windows does not do one hot encoding

Asked 2021-Oct-19 at 21:09

I'm new to R and can not get my head arround why some very basic script does not perform one hot encoding in a windows-environment while it performs totally well in a linux-environment. As I have to work within the failing windows-environment I'd like to make the script perform one hot encoding.

This happenes within windows (one hot fail)

...

ANSWER

Answered 2021-Oct-19 at 21:09

I think this has to do with your R versions, not the platform. One of the key defaults for creating data.frames, stringsAsFactors, got a new default (=FALSE) in R 4.0 after years of tripping up unsuspecting new users. However, some packages, such as it seems mltools, expect the kind of data frame that would be created using the old default, stringsAsFactors = TRUE. For more: https://developer.r-project.org/Blog/public/2020/02/16/stringsasfactors/index.html

I was able to replicate the problem and could fix it by setting stringsAsFactors = TRUE. (BTW, it looks like mltools::onehot expects a data.table as input, so I'm not sure there's a way to avoid using that package.)

Doesn't work:

Source https://stackoverflow.com/questions/69637129

QUESTION

Matthews correlation coefficient function (mcc) in R doesn't work

Asked 2021-Oct-15 at 17:47

I am using this function to calculate MCC: https://www.rdocumentation.org/packages/mltools/versions/0.3.5/topics/mcc.

It generates this error:

...

ANSWER

Answered 2021-Oct-15 at 17:47

As the error message implies, you should use either {'preds' and 'actuals'} or {'TP', 'FP', 'TN', 'FN'} or {'confusionM'}, but certainly not all of them togetner, as you are trying to do here.

Changing the MCC calculation in your code to

Source https://stackoverflow.com/questions/69588522

QUESTION

one hot encode each column in a Int matrix in R

Asked 2020-Feb-17 at 14:39

I have an issue of translating matrix into one hot encoding in R. I implemented in Matlab but i have difficulty in handling the object in R. Here i have an object of type 'matrix'.

I would like to apply one hot encoding to this matrix. I have problem with column names.

here is an example:

...

ANSWER

Answered 2020-Feb-17 at 14:39

Your data table must contain some columns (variables) that have class "factor". Try this:

Source https://stackoverflow.com/questions/60263515

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

Vulnerabilities

No vulnerabilities reported

Install mltools

You can download it from GitHub.
You can use mltools like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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