datarobot-user-models | User 's custom models
kandi X-RAY | datarobot-user-models Summary
kandi X-RAY | datarobot-user-models Summary
datarobot-user-models is a Java library typically used in Manufacturing, Utilities, Machinery, Process applications. datarobot-user-models has no bugs, it has no vulnerabilities, it has build file available and it has low support. However datarobot-user-models has a Non-SPDX License. You can install using 'pip install datarobot-user-models' or download it from GitHub, PyPI.
This repository contains tools, templates, and information for assembling, debugging, testing, and running your custom inference models and custom tasks with DataRobot. The ./task_templates and ./model_templates folders provide reference examples to help users learn how to create custom tasks and/or custom inference models. The templates there are simple, well documented, and can be used as tutorials. These templates should also remain up to date with any API or other changes. For further examples, provided as-is, that often contain more complex logic please see the community examples repo at: Please note that these examples may not stay up to date with the latest API or best practices. For further documentation on this and all other features please visit our comprehensive documentation at:
This repository contains tools, templates, and information for assembling, debugging, testing, and running your custom inference models and custom tasks with DataRobot. The ./task_templates and ./model_templates folders provide reference examples to help users learn how to create custom tasks and/or custom inference models. The templates there are simple, well documented, and can be used as tutorials. These templates should also remain up to date with any API or other changes. For further examples, provided as-is, that often contain more complex logic please see the community examples repo at: Please note that these examples may not stay up to date with the latest API or best practices. For further documentation on this and all other features please visit our comprehensive documentation at:
Support
Quality
Security
License
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Support
datarobot-user-models has a low active ecosystem.
It has 78 star(s) with 79 fork(s). There are 121 watchers for this library.
It had no major release in the last 12 months.
There are 5 open issues and 7 have been closed. On average issues are closed in 20 days. There are 19 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of datarobot-user-models is v1.9.12
Quality
datarobot-user-models has no bugs reported.
Security
datarobot-user-models has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
datarobot-user-models has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
Reuse
datarobot-user-models releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed datarobot-user-models and discovered the below as its top functions. This is intended to give you an instant insight into datarobot-user-models implemented functionality, and help decide if they suit your requirements.
- Assigns predictions to the model
- Returns the score for the given dataset
- Returns the score of classification data
- Returns the score of the matrix
- Calculate prediction score for training data
- Computes the score of the given dataset
- Returns the score for the given data set
- Computes the score score of the dataset
- Calculates the score for the given data
- Returns a score based on the genepIT score
- Computes the score for a generation score
- Computes the score of the generation penalty
- Calculates the prediction score for the data
- Returns the score of the given data
- Returns the score of a data row
- Predict the input bytes
- Entry point for the predictor service
- Configure the model
- Make prediction on CSV file
- Returns a string representation of this configuration
- Gets the UUID
- Returns the UUID
- The UUID
- Predict the unstructured data
- Calculates the score for a given data point
- Configures the custom model path
Get all kandi verified functions for this library.
datarobot-user-models Key Features
No Key Features are available at this moment for datarobot-user-models.
datarobot-user-models Examples and Code Snippets
No Code Snippets are available at this moment for datarobot-user-models.
Community Discussions
No Community Discussions are available at this moment for datarobot-user-models.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install datarobot-user-models
You can install using 'pip install datarobot-user-models' or download it from GitHub, PyPI.
You can use datarobot-user-models 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 datarobot-user-models 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 .
You can use datarobot-user-models 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 datarobot-user-models 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 .
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