MachineLearning | machine learning algortihms implementations | Machine Learning library

by ignl Java Version: Current License: No License

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kandi X-RAY | MachineLearning Summary

MachineLearning is a Java library typically used in Artificial Intelligence, Machine Learning applications. MachineLearning has no bugs, it has no vulnerabilities and it has low support. However MachineLearning build file is not available. You can download it from GitHub.

My machine learning algortihms implementations. Currently decision tree, and linear/logistic regression. Post about decision tree implementation:

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Security

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Support

MachineLearning has a low active ecosystem.

It has 27 star(s) with 29 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

MachineLearning has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of MachineLearning is current.

Quality

MachineLearning has 0 bugs and 0 code smells.

Security

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

MachineLearning code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

MachineLearning does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

MachineLearning has no build file. You will be need to create the build yourself to build the component from source.

MachineLearning saves you 542 person hours of effort in developing the same functionality from scratch.

It has 1269 lines of code, 115 functions and 39 files.

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

Top functions reviewed by kandi - BETA

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

Main entry point
Grow the tree
Read data from csv files
Gets the features
Minimize the cost function
Normalize features
Calculate standart deviation
Compares two Predicate features
Predicts value from the linear regression function
Returns the hashCode of this column
Compares this object for equality
Print a double matrix
This method is used to calculate the empirical probability for each label
Calculates the impact of the data
Compute the costs of a model
Computes the cost of the regression function

Get all kandi verified functions for this library.

MachineLearning Key Features

No Key Features are available at this moment for MachineLearning.

MachineLearning Examples and Code Snippets

No Code Snippets are available at this moment for MachineLearning.

Community Discussions

Trending Discussions on MachineLearning

ML.NET KMeans clustering - What is the Davies Boulding Index?

Unpickle instance from Jupyter Notebook in Flask App

venv - pip not found

Why embarkation_point_2 field gets added when one_hot_encoder is applied to training data

How to seldon-core quick-start on kind with port-forward?

Accord.NET throw "Index was outside the bounds of the array"

Seldon Core Loading sklearn/irir failed

"bash: export: ... not a valid identifier" in CLI of git-bash shell "MINGW64" on Windows 10

How to import kaggle datasets to PyCharm IDE

Possible to select the DNN AI core for model evaluation on HoloLens 2?

QUESTION

ML.NET KMeans clustering - What is the Davies Boulding Index?

Asked 2022-Mar-15 at 22:34

I am using the KMeans clustering algorithm from ML.NET (here) and when evaluating the model, I see Davies Bouldin Index in the model metrics.

What is the range of this index? What does its value of zero mean?

...

ANSWER

Answered 2022-Mar-15 at 22:34

According to the documentation the Davies Bouldin Index is:

"The average ratio of within-cluster distances to between-cluster distances. The tighter the cluster, and the further apart the clusters are, the lower this value is." Also:

"Values closer to 0 are better. Clusters that are farther apart and less dispersed will result in a better score." You can find more information on the Davies Bouldin Index in the following here.

Source https://stackoverflow.com/questions/71424036

QUESTION

Unpickle instance from Jupyter Notebook in Flask App

Asked 2022-Feb-28 at 18:03

I have created a class for word2vec vectorisation which is working fine. But when I create a model pickle file and use that pickle file in a Flask App, I am getting an error like:

AttributeError: module '__main__' has no attribute 'GensimWord2VecVectorizer'

I am creating the model on Google Colab.

Code in Jupyter Notebook:

...

ANSWER

Answered 2022-Feb-24 at 11:48

Import GensimWord2VecVectorizer in your Flask Web app python file.

Source https://stackoverflow.com/questions/71231611

QUESTION

venv - pip not found

Asked 2021-Dec-14 at 15:04

I am using Windows 10 & Python 3.9
I am new to Python, after I created venv and facing the following errors:
My venv is able to catch the pip path when I use the command where pip. Which is in F drive
...

ANSWER

Answered 2021-Dec-14 at 15:04

My problem is resolved.
Instead of using pip install just need to use python -m pip install , within venv to avoid the following error

Source https://stackoverflow.com/questions/70321475

QUESTION

Why embarkation_point_2 field gets added when one_hot_encoder is applied to training data

Asked 2021-Dec-03 at 14:44

Following the example of vertica at https://www.vertica.com/docs/11.0.x/HTML/Content/Authoring/AnalyzingData/MachineLearning/DataPreparation/EncodingCategoricalColumns.htm?tocpath=Analyzing%20Data%7CMachine%20Learning%20for%20Predictive%20Analytics%7CData%20Preparation%7C_____3

which uses Titanic data from kaggle,

ONE_HOT_ENCODER_FIT function coverts categorical data and creates a model which represents the new representation of categorical data

...

ANSWER

Answered 2021-Dec-03 at 14:44

There are many reasons to your output. First, read the documentation of the APPLY_ONE_HOT_ENCODER: https://www.vertica.com/docs/11.0.x/HTML/Content/Authoring/SQLReferenceManual/Functions/MachineLearning/APPLY_ONE_HOT_ENCODER.htm?tocpath=SQL%20Reference%20Manual%7CSQL%20Functions%7CMachine%20Learning%20Functions%7CTransformation%20Functions%7C_____5

Two parameters allow you to achieve your goals:

drop_first: set it to false to get all the columns. One is dropped because of correlations purposes. You can read this article: https://inmachineswetrust.com/posts/drop-first-columns/ There are pros and cons.
column_naming: set it to values but be careful. If you have categories with special characters, you might face some difficulties.

Badr

Source https://stackoverflow.com/questions/70206239

QUESTION

How to seldon-core quick-start on kind with port-forward?

Asked 2021-Oct-13 at 10:50

Following the documentation I try to setup the Seldon-Core quick-start https://docs.seldon.io/projects/seldon-core/en/v1.11.1/workflow/github-readme.html

I don't have LoadBalancer so I would like to use port-fowarding for accessing to the service.

I run the following script for setup the system:

...

ANSWER

Answered 2021-Oct-13 at 10:50

If you install with istio enabled you also need to install the istio gateway.

I've tested your flow and it didn't work, and then did work after installing the following istio gateway.

Source https://stackoverflow.com/questions/69538672

QUESTION

Accord.NET throw "Index was outside the bounds of the array"

Asked 2021-Sep-27 at 18:03

I was working on KNN from Accord.NET and I faced this error for some reason when I need to test model.

but this error message didn't help at all (Index was outside the bounds of the array) because this error happen in the library itself.

simple code with random data:

...

ANSWER

Answered 2021-Sep-27 at 18:03

after many days and after implementing this simple sample I found that output array should have continues range values (encoded : 0,1,2,3,....) . so here 9 is why that bug happen here 🙂

Source https://stackoverflow.com/questions/69339578

QUESTION

Seldon Core Loading sklearn/irir failed

Asked 2021-Sep-06 at 12:46

I tried to load the iris model using seldon core, and unfortunately the following error occurred. SKLEARN_SERVER loads seldon’s sklearn/iris model with the following error.

...

ANSWER

Answered 2021-Sep-06 at 12:46

This is because the version of the seldon core does not match the version of the model. Note that the example model for seldon-core version 1.10.0 is under gs://seldon-models/v1.11.0-dev.

Source https://stackoverflow.com/questions/69023624

QUESTION

"bash: export: ... not a valid identifier" in CLI of git-bash shell "MINGW64" on Windows 10

Asked 2021-Jul-12 at 08:58

Using git for Windows, I always get the following output when opening a new git-bash terminal:

...

ANSWER

Answered 2021-Jul-12 at 08:58

As correctly pointed out in the first comment under my OP by @Zilog80, I had to check and remove all $ after the export-command in the following bash start-up scripts:

.bashrc
.bash_profile
.profile

In my case, all the fuss boiled down to the following line in my ~/.bashrc - script:

Source https://stackoverflow.com/questions/68344089

QUESTION

How to import kaggle datasets to PyCharm IDE

Asked 2021-Jul-05 at 20:18

I'm able to download kaggle using PIP command. Able to place the kaggle.json file into the appropriate folder. Able to see the competitions present in it. But when I'm trying to download the data files then an error getting displayed.

CODE:

...

ANSWER

Answered 2021-Jul-05 at 20:18

The error returned describes the root of the issue:

Source https://stackoverflow.com/questions/68248286

QUESTION

Possible to select the DNN AI core for model evaluation on HoloLens 2?

Asked 2021-Jun-07 at 17:27

Can anyone tell me if one can directly select the DNN AI core for neural network evaluation on HoloLens 2.

I have read about the HPU, which includes and DNN AI core in the GitHub repo here. But in the doc for the devices that can be used only CPU and GPU are listed.

...

ANSWER

Answered 2021-Jun-07 at 17:27

Currently Windows AI only supports inference on CPUs or GPUs.

Unfortunately there isn't a way to perform inference on the HoloLens2 HPU DNN AI Core at the moment.

Source https://stackoverflow.com/questions/66347068

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

Vulnerabilities

No vulnerabilities reported

Install MachineLearning

You can download it from GitHub.
You can use MachineLearning like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the MachineLearning component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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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