circle ci.

Bump Version to v0.3.9+dev

---------

Co-authored-by: Jiashen Cao <caojiashen24@gmail.com>
Co-authored-by: Gaurav Tarlok Kakkar <gaurav21776@gmail.com>

This PR aims to solve the following issues:

- [x] Throwing error when non-numeric characters are in the data
(partially fixes #1243)
- [x] Math domain error with `statsforecast`.
- [x] Fix GPU support for `neuralforecast`.
- ~Neuralforecast support for directly using batched data.~
- ~Auto frequency determination ( #1279).~

Will create separate PRs for the last two points.

---------

Co-authored-by: Andy Xu <xzdandy@gmail.com>

1. Removed `config.yml` file. Users can directly use `SET` command. 
2. Moved `OPENAI_KEY` to `OPENAI_API_KEY`

---------

Co-authored-by: hershd23 <hershdhillon23@gmail.com>
Co-authored-by: Andy Xu <xzdandy@gmail.com>

Please suggest if this feature needs more test cases

---------

Co-authored-by: Lohith K S <lohithks@Lohiths-MacBook-Pro-2.local>

…i-Ankith-db_doc_note

We shall add XGBoost classification support in EVADB.

---------

Co-authored-by: Jineet Desai <jdesai61@gatech.edu>
Co-authored-by: Andy Xu <xzdandy@gmail.com>

Profiling on Vector Scan showed that we are spending a lot of time in
the post-processing logic doing a Nested Join. This is an initial commit
to change that into a Join using Pandas. Change showed ~50% improvement
in Similarity Queries.

Moved Function Expression Binder to a separate file

Integrated Milvus vector store into EvaDB. Added a `MilvusVectorStore`
class and Milvus type for query parsing and execution.
Below are environment values for the use of the Milvus index:

* `MILVUS_URI` is the URI of the Milvus instance (which would be
http://localhost:19530 when running locally). **This value is required**
* `MILVUS_USER` is the name of the user for the Milvus instance.
* `MILVUS_PASSWORD` is the password of the user for the Milvus instance.
* `MILVUS_DB_NAME` is the name of the database to be used. This will
default to the `default` database if not provided.
* `MILVUS_TOKEN` is the authorization token for the Milvus instance.

---------

Co-authored-by: Andy Xu <xzdandy@gmail.com>

Example notebook added for XGBoost regression and classification.

---------

Co-authored-by: Jineet Desai <jdesai61@gatech.edu>

Resolved #1312 partially, limited to the SQL queries themselves

Added some string helper functions that were missing based on student
feedback. This PR adds support for UPPER, LOWER and CONCAT.

Queries of the form are now supported:

`SELECT CONCAT(UPPER(col1), LOWER(col2), "SOME_SUFFIX") FROM TABLE1`

…oost (#1327)

Let us show the validation score and training time for the XGBoost
AutoML model trained. This shall give us fair enough idea on how the
model trained on the training data set.

---------

Co-authored-by: Jineet Desai <jdesai61@gatech.edu>

The environment created in the setup instructions in the documentation
calls the environment `test_eva_db`

Update the DockerFile in order to resolve dependency issues along with
fixing the invalid CMD that was previously passed in.

This PR fixes an issue in CREATE INDEX IF NOT EXISTS command wherein if
'IF NOT EXISTS' is passed, we had an unreferenced variable issue. Added
Unit Tests to check the correctness of both the cases.

Also reverted the index changes while merging dataframes after vector
scan, as it's failing for some cases where indexes can be undefined.

Support semi-colons in string literals for queries of the form:
```
"""SELECT ChatGPT("Here's a; question", "This is the context") FROM TAIPAI;"""
```

Also support string escape to run ChatGPT queries more easily:
```
"""SELECT ChatGPT('Here\\'s a question', 'This is the context') FROM TAIPAI;"""
```

This PR introduces a generic interface to support 3rd party apps in
EVADB. As an example. the template for integrating slack has been added.
In a subsequent PR the integration with slack will be completed.

---------

Co-authored-by: Gaurav Tarlok Kakkar <gaurav21776@gmail.com>
Co-authored-by: Joy Arulraj <jjamesaj@gmail.com>
Co-authored-by: Joy Arulraj <arulraj@gatech.edu>
Co-authored-by: Kaushik Ravichandran <kravicha3@ada-01.cc.gatech.edu>

Added separate error handling for ModuleNotFoundError and
FileNotFoundError
	modified:   evadb/utils/generic_utils.py

Issue - [721](#721)

Currently, we abort the entire process when the load executor encounters
a corrupted file.

…d pdf functionality. (#1343)

Issue #1067 about not being able to load pdf files, was verified to be
working with evadb documentation pdf and a new page for loading pdf is
added to the documentation.
<img width="1310" alt="Screenshot 2023-11-07 at 1 33 01 AM"
src="https://github.com/georgia-tech-db/evadb/assets/32676813/af2fa40b-c8c1-4f3d-b93f-98d0bf278a5b">

Co-authored-by: Lohith K S <lohithks@Lohiths-MacBook-Pro-2.local>

In the previous commit, we added the changes for displaying the train
scores and train times for XGBoost. We plan to add similar changes to
Ludwig integration as well.

---------

Co-authored-by: Jineet Desai <jdesai61@gatech.edu>
Co-authored-by: Andy Xu <xzdandy@gmail.com>

- Fix the following queries:

```
SELECT * FROM postgres_data.home_rentals where neighborhood='downtown' and number_of_rooms=2;
```

- Improve the error message: Instead of throwing arbitrary mask error,
now we raise `Unsupported Logical Operator: ...`.

This PR adds support for creating and dropping jobs in evadb based on
this [task](#1248).

1.  Jobs can be created using the create job query:

   
> CREATE JOB {job_name} AS {
>             {job_queries; ...}
>     }
>     START {start_time}
>     END {end_time}
>     EVERY {repeat_period} {repeat_unit}

2. Created jobs can be dropped using:

> DROP JOB {job_name}

3. The scheduled jobs will only be triggered if the job scheduler
process is started explicitly using:

> EvaDBConnection.start_jobs()

4. The job scheduler process can be stopped using:

> EvaDBConnection.stop_jobs()

---------

Co-authored-by: Gaurav Tarlok Kakkar <gaurav21776@gmail.com>

Provide feedback when `Forecasting` UDF is called in the following ways:

- [x] Reporting confidence intervals
- [x] Returning a metric for the forecasting performance.
- [x] Providing suggestions in simple special cases, such as during Flat
predictions.

Eg:
```sql
SELECT HomeForecast();
```

```
SUGGESTION: Predictions are flat. Consider using LIBRARY 'neuralforecast' for more accrate predictions.
```

Partially fixes #1257 and #1243.

---------

Co-authored-by: Andy Xu <xzdandy@gmail.com>

Flaml provides support for Sklearn models like Random Forests, KNN,
Extra Trees Regressor, and Logistic Regression with regularization. We
plan to integrate these ML models into EVADB.
Link for Flaml documentation:
https://microsoft.github.io/FLAML/docs/Use-Cases/Task-Oriented-AutoML

---------

Co-authored-by: Jineet Desai <jdesai61@gatech.edu>

Migrate ChatGPT function to openai v1.0.

The test is skipped in circleCI because we must supply the
`OPENAI_API_KEY`. The test passes on local machine.

- [x] Upgrade ChatGPT function.
- [x] Upgrade Dall-e function.
- [x] Update unit test cases.
- [x] Verify that notebooks work correctly.