[
https://issues.apache.org/jira/browse/IGNITE-11138?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Anton Dmitriev updated IGNITE-11138:
------------------------------------
Description:
Currently we have two example of using Machine Learning together with SQL
implemented in IGNITE-11071 and IGNITE-11072 (see
[this|https://github.com/apache/ignite/blob/66982167517e37dad5804d83c2665ac68047278c/examples/src/main/java/org/apache/ignite/examples/ml/sql/DecisionTreeClassificationTrainerSQLTableExample.java]
and
[this|https://github.com/apache/ignite/blob/66982167517e37dad5804d83c2665ac68047278c/examples/src/main/java/org/apache/ignite/examples/ml/sql/DecisionTreeClassificationTrainerSQLInferenceExample.java]
example). These examples are very verbose so far and our goal is to move
utility code into "ml" module.
The list of assumed improvements:
* Add SQLFeatureLabelExtractor that simplifies specification of BinaryObject
feature/label extraction approaches;
* Simplify IgniteModel saving so that user is able so save pre-trained model
using one function call;
* Move SQLFunctions class that defines functions that extend SQL functionality
into "ml" module so that user is able to use it out-of-the-box;
* Reflect all these changes in correspondent examples.
was:
We want to have an implementation for model predict for SQL queries.
Currently we have two example of using Machine Learning together with SQL
implemented in IGNITE-11071 and IGNITE-11072 (see
[this|https://github.com/apache/ignite/blob/66982167517e37dad5804d83c2665ac68047278c/examples/src/main/java/org/apache/ignite/examples/ml/sql/DecisionTreeClassificationTrainerSQLTableExample.java]
and
[this|https://github.com/apache/ignite/blob/66982167517e37dad5804d83c2665ac68047278c/examples/src/main/java/org/apache/ignite/examples/ml/sql/DecisionTreeClassificationTrainerSQLInferenceExample.java]
example). These examples are very verbose so far and our goal is to move
utility code into "ml" module.
The list of assumed improvements:
* Add SQLFeatureLabelExtractor that simplifies specification of BinaryObject
feature/label extraction approaches;
* Simplify IgniteModel saving so that user is able so save pre-trained model
using one function call;
* Move SQLFunctions class that defines functions that extend SQL functionality
into "ml" module so that user is able to use it out-of-the-box;
* Reflect all these changes in correspondent examples.
> [ML] Predict from SQL
> ---------------------
>
> Key: IGNITE-11138
> URL: https://issues.apache.org/jira/browse/IGNITE-11138
> Project: Ignite
> Issue Type: Improvement
> Components: ml
> Reporter: Yury Babak
> Assignee: Anton Dmitriev
> Priority: Major
> Fix For: 2.8
>
> Time Spent: 10m
> Remaining Estimate: 0h
>
> Currently we have two example of using Machine Learning together with SQL
> implemented in IGNITE-11071 and IGNITE-11072 (see
> [this|https://github.com/apache/ignite/blob/66982167517e37dad5804d83c2665ac68047278c/examples/src/main/java/org/apache/ignite/examples/ml/sql/DecisionTreeClassificationTrainerSQLTableExample.java]
> and
> [this|https://github.com/apache/ignite/blob/66982167517e37dad5804d83c2665ac68047278c/examples/src/main/java/org/apache/ignite/examples/ml/sql/DecisionTreeClassificationTrainerSQLInferenceExample.java]
> example). These examples are very verbose so far and our goal is to move
> utility code into "ml" module.
> The list of assumed improvements:
> * Add SQLFeatureLabelExtractor that simplifies specification of BinaryObject
> feature/label extraction approaches;
> * Simplify IgniteModel saving so that user is able so save pre-trained model
> using one function call;
> * Move SQLFunctions class that defines functions that extend SQL
> functionality into "ml" module so that user is able to use it out-of-the-box;
> * Reflect all these changes in correspondent examples.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
