Commit Graph

995 Commits (5cfa72a130f675c8da5963a11d416f553f692e72)

Author SHA1 Message Date
Eugene Yurtsev 5cfa72a130
Bibtex integration for document loader and retriever (#5137)
# Bibtex integration

Wrap bibtexparser to retrieve a list of docs from a bibtex file.
* Get the metadata from the bibtex entries
* `page_content` get from the local pdf referenced in the `file` field
of the bibtex entry using `pymupdf`
* If no valid pdf file, `page_content` set to the `abstract` field of
the bibtex entry
* Support Zotero flavour using regex to get the file path
* Added usage example in
`docs/modules/indexes/document_loaders/examples/bibtex.ipynb`
---------

Co-authored-by: Sébastien M. Popoff <sebastien.popoff@espci.fr>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Keno eff31a3361
Remove API key from docs (#5223)
I found an API key for `serpapi_api_key` while reading the docs. It
seems to have been modified very recently. Removed it in this PR
@hwchase17 - project lead
1 year ago
Leonid Ganeline 2ad29f410d
fix a mistake in concepts.md (#5222)
# fix a mistake in concepts.md


## Who can review?

Community members can review the PR once tests pass. Tag
maintainers/contributors who might be interested:
1 year ago
Harrison Chase a775aa6389
Harrison/vertex (#5049)
Co-authored-by: Leonid Kuligin <kuligin@google.com>
Co-authored-by: Leonid Kuligin <lkuligin@yandex.ru>
Co-authored-by: sasha-gitg <44654632+sasha-gitg@users.noreply.github.com>
Co-authored-by: Justin Flick <Justinjayflick@gmail.com>
Co-authored-by: Justin Flick <jflick@homesite.com>
1 year ago
Davis Chase dcee8936c1
nit (#5208) 1 year ago
Alon Diament 44abe925df
Add Joplin document loader (#5153)
# Add Joplin document loader

[Joplin](https://joplinapp.org/) is an open source note-taking app.

Joplin has a [REST API](https://joplinapp.org/api/references/rest_api/)
for accessing its local database. The proposed `JoplinLoader` uses the
API to retrieve all notes in the database and their metadata. Joplin
needs to be installed and running locally, and an access token is
required.

- The PR includes an integration test.
- The PR includes an example notebook.

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Rodrigo Siqueira f10be072ff
Add Iugu document loader (#5162)
Create IUGU loader
---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Davis Chase 2b2176a3c1
tfidf retriever (#5114)
Co-authored-by: vempaliakhil96 <vempaliakhil96@gmail.com>
1 year ago
Shukri b00c77dc62
Improve weaviate vectorstore docs (#5201)
# Improve weaviate vectorstore docs
1 year ago
Harrison Chase 11c26ebb55
Harrison/modelscope (#5156)
Co-authored-by: thomas-yanxin <yx20001210@163.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Jeff Vestal cf19a2a59f
example usage (#5182)
Adding example usage for elasticsearch knn embeddings
[per](https://github.com/hwchase17/langchain/pull/3401#issuecomment-1548518389)


https://github.com/hwchase17/langchain/blob/master/langchain/embeddings/elasticsearch.py
1 year ago
Ikko Eltociear Ashimine fff21a0b35
Update rellm_experimental.ipynb (#5189)
# Your PR Title (What it does)

HuggingFace -> Hugging Face
1 year ago
Nolan Tremelling faa26650c9
Beam (#4996)
# Beam

Calls the Beam API wrapper to deploy and make subsequent calls to an
instance of the gpt2 LLM in a cloud deployment. Requires installation of
the Beam library and registration of Beam Client ID and Client Secret.
Additional calls can then be made through the instance of the large
language model in your code or by calling the Beam API.

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Ofer Mendelevitch c81fb88035
Vectara (#5069)
# Vectara Integration

This PR provides integration with Vectara. Implemented here are:
* langchain/vectorstore/vectara.py
* tests/integration_tests/vectorstores/test_vectara.py
* langchain/retrievers/vectara_retriever.py
And two IPYNB notebooks to do more testing:
* docs/modules/chains/index_examples/vectara_text_generation.ipynb
* docs/modules/indexes/vectorstores/examples/vectara.ipynb

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Jason Bosco 9c4b43b494
Add Typesense vector store (#1674)
Closes #931.

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Leonid Ganeline 33929489b9
docs: added missed `document_loaders` examples (#5150)
# DOCS added missed document_loader examples

Added missed examples: `JSON`, `Open Document Format (ODT)`,
`Wikipedia`, `tomarkdown`.
Updated them to a consistent format.

## Who can review?

@hwchase17 
@dev2049
1 year ago
Daniel Quinteros c111134a55
Clarification of the reference to the "get_text_legth" function in ge… (#5154)
# Clarification of the reference to the "get_text_legth" function in
getting_started.md

Reference to the function "get_text_legth" in the documentation did not
make sense. Comment added for clarification.

@hwchase17
1 year ago
Daniel Quinteros de4ef24f75
Docs: updated getting_started.md (#5151)
# Docs: updated getting_started.md

Just accommodating some unnecessary spaces in the example of "pass few
shot examples to a prompt template".

@vowelparrot
1 year ago
Daniel King de6e6c764e
Add MosaicML inference endpoints (#4607)
# Add MosaicML inference endpoints
This PR adds support in langchain for MosaicML inference endpoints. We
both serve a select few open source models, and allow customers to
deploy their own models using our inference service. Docs are here
(https://docs.mosaicml.com/en/latest/inference.html), and sign up form
is here (https://forms.mosaicml.com/demo?utm_source=langchain). I'm not
intimately familiar with the details of langchain, or the contribution
process, so please let me know if there is anything that needs fixing or
this is the wrong way to submit a new integration, thanks!

I'm also not sure what the procedure is for integration tests. I have
tested locally with my api key.

## Who can review?
@hwchase17

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
1 year ago
Adheeban Manoharan 68f0d45485
Adding Weather Loader (#5056)
Co-authored-by: Tyler Hutcherson <tyler.hutcherson@redis.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Jeff Vestal 0b542a9706
Add ElasticsearchEmbeddings class for generating embeddings using Elasticsearch models (#3401)
This PR introduces a new module, `elasticsearch_embeddings.py`, which
provides a wrapper around Elasticsearch embedding models. The new
ElasticsearchEmbeddings class allows users to generate embeddings for
documents and query texts using a [model deployed in an Elasticsearch
cluster](https://www.elastic.co/guide/en/machine-learning/current/ml-nlp-model-ref.html#ml-nlp-model-ref-text-embedding).

### Main features:

1. The ElasticsearchEmbeddings class initializes with an Elasticsearch
connection object and a model_id, providing an interface to interact
with the Elasticsearch ML client through
[infer_trained_model](https://elasticsearch-py.readthedocs.io/en/v8.7.0/api.html?highlight=trained%20model%20infer#elasticsearch.client.MlClient.infer_trained_model)
.
2. The `embed_documents()` method generates embeddings for a list of
documents, and the `embed_query()` method generates an embedding for a
single query text.
3. The class supports custom input text field names in case the deployed
model expects a different field name than the default `text_field`.
4. The implementation is compatible with any model deployed in
Elasticsearch that generates embeddings as output.

### Benefits:

1. Simplifies the process of generating embeddings using Elasticsearch
models.
2. Provides a clean and intuitive interface to interact with the
Elasticsearch ML client.
3. Allows users to easily integrate Elasticsearch-generated embeddings.

Related issue https://github.com/hwchase17/langchain/issues/3400

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Myeongseop Kim 7a75bb2121
docs: fix minor typo + add wikipedia package installation part in human_input_llm.ipynb (#5118)
# Fix typo + add wikipedia package installation part in
human_input_llm.ipynb
This PR
1. Fixes typo ("the the human input LLM"), 
2. Addes wikipedia package installation part (in accordance with
`WikipediaQueryRun`
[documentation](https://python.langchain.com/en/latest/modules/agents/tools/examples/wikipedia.html))

in `human_input_llm.ipynb`
(`docs/modules/models/llms/examples/human_input_llm.ipynb`)
1 year ago
Ayan Bandyopadhyay 5c87dbf5a8
Add link to Psychic from document loaders documentation page (#5115)
# Add link to Psychic from document loaders documentation page

In my previous PR I forgot to update `document_loaders.rst` to link to
`psychic.ipynb` to make it discoverable from the main documentation.
1 year ago
Tian Wei d7f807b71f
Add AzureCognitiveServicesToolkit to call Azure Cognitive Services API (#5012)
# Add AzureCognitiveServicesToolkit to call Azure Cognitive Services
API: achieve some multimodal capabilities

This PR adds a toolkit named AzureCognitiveServicesToolkit which bundles
the following tools:
- AzureCogsImageAnalysisTool: calls Azure Cognitive Services image
analysis API to extract caption, objects, tags, and text from images.
- AzureCogsFormRecognizerTool: calls Azure Cognitive Services form
recognizer API to extract text, tables, and key-value pairs from
documents.
- AzureCogsSpeech2TextTool: calls Azure Cognitive Services speech to
text API to transcribe speech to text.
- AzureCogsText2SpeechTool: calls Azure Cognitive Services text to
speech API to synthesize text to speech.

This toolkit can be used to process image, document, and audio inputs.
---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Jamie Broomall d4fd589638
WhyLabs callback (#4906)
# Add a WhyLabs callback handler

* Adds a simple WhyLabsCallbackHandler
* Add required dependencies as optional
* protect against missing modules with imports
* Add docs/ecosystem basic example

based on initial prototype from @andrewelizondo

> this integration gathers privacy preserving telemetry on text with
whylogs and sends stastical profiles to WhyLabs platform to monitoring
these metrics over time. For more information on what WhyLabs is see:
https://whylabs.ai

After you run the notebook (if you have env variables set for the API
Keys, org_id and dataset_id) you get something like this in WhyLabs:
![Screenshot
(443)](https://github.com/hwchase17/langchain/assets/88007022/6bdb3e1c-4243-4ae8-b974-23a8bb12edac)

Co-authored-by: Andre Elizondo <andre@whylabs.ai>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Matt Rickard de6a401a22
Add OpenLM LLM multi-provider (#4993)
OpenLM is a zero-dependency OpenAI-compatible LLM provider that can call
different inference endpoints directly via HTTP. It implements the
OpenAI Completion class so that it can be used as a drop-in replacement
for the OpenAI API. This changeset utilizes BaseOpenAI for minimal added
code.

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Gergely Imreh 69de33e024
Add Mastodon toots loader (#5036)
# Add Mastodon toots loader.

Loader works either with public toots, or Mastodon app credentials. Toot
text and user info is loaded.

I've also added integration test for this new loader as it works with
public data, and a notebook with example output run now.

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Andreas Liebschner 44dc959584
Improve pinecone hybrid search retriever adding metadata support (#5098)
# Improve pinecone hybrid search retriever adding metadata support

I simply remove the hardwiring of metadata to the existing
implementation allowing one to pass `metadatas` attribute to the
constructors and in `get_relevant_documents`. I also add one missing pip
install to the accompanying notebook (I am not adding dependencies, they
were pre-existing).

First contribution, just hoping to help, feel free to critique :) 
my twitter username is `@andreliebschner`

While looking at hybrid search I noticed #3043 and #1743. I think the
former can be closed as following the example right now (even prior to
my improvements) works just fine, the latter I think can be also closed
safely, maybe pointing out the relevant classes and example. Should I
reply those issues mentioning someone?

@dev2049, @hwchase17

---------

Co-authored-by: Andreas Liebschner <a.liebschner@shopfully.com>
1 year ago
Harrison Chase 10ba201d05
Harrison/neo4j (#5078)
Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Leonid Ganeline 443ebe22f4
docs: `Deployments` page moved into `Ecosystem/` (#4949)
# docs: `deployments` page moved into `ecosystem/`

The `Deployments` page moved into the `Ecosystem/` group

Small fixes:
- `index` page: fixed order of items in the `Modules` list, in the `Use
Cases` list
- item `References/Installation` was lost in the `index` page (not on
the Navbar!). Restored it.
- added `|` marker in several places.

NOTE: I also thought about moving the `Additional Resources/Gallery`
page into the `Ecosystem` group but decided to leave it unchanged.
Please, advise on this.

## Who can review?

Community members can review the PR once tests pass. Tag
maintainers/contributors who might be interested:
@dev2049
1 year ago
Matt Robinson bf3f554357
feat: batch multiple files in a single Unstructured API request (#4525)
### Submit Multiple Files to the Unstructured API

Enables batching multiple files into a single Unstructured API requests.
Support for requests with multiple files was added to both
`UnstructuredAPIFileLoader` and `UnstructuredAPIFileIOLoader`. Note that
if you submit multiple files in "single" mode, the result will be
concatenated into a single document. We recommend using this feature in
"elements" mode.

### Testing

The following should load both documents, using two of the example docs
from the integration tests folder.

```python
    from langchain.document_loaders import UnstructuredAPIFileLoader

    file_paths = ["examples/layout-parser-paper.pdf",  "examples/whatsapp_chat.txt"]

    loader = UnstructuredAPIFileLoader(
        file_paths=file_paths,
        api_key="FAKE_API_KEY",
        strategy="fast",
        mode="elements",
    )
    docs = loader.load()
```
1 year ago
Harrison Chase 224f73e978 move docs 1 year ago
Harrison Chase b0431c672b
Harrison/psychic (#5063)
Co-authored-by: Ayan Bandyopadhyay <ayanb9440@gmail.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Jeffrey Zheng 424a573266
DOC: Misspelling in agents.rst documentation (#5038)
# Corrected Misspelling in agents.rst Documentation

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In the
[documentation](https://python.langchain.com/en/latest/modules/agents.html)
it says "in fact, it is often best to have an Action Agent be in
**change** of the execution for the Plan and Execute agent."

**Suggested Change:** I propose correcting change to charge.

Fix for issue: #5039
1 year ago
Gengliang Wang f9f08c4b69
Add documentation for Databricks integration (#5013)
# Add documentation for Databricks integration

This is a follow-up of https://github.com/hwchase17/langchain/pull/4702
It documents the details of how to integrate Databricks using langchain.
It also provides examples in a notebook.


## Who can review?
@dev2049 @hwchase17 since you are aware of the context. We will promote
the integration after this doc is ready. Thanks in advance!
1 year ago
tornikeo a6ef20d7fe
Fix annoying typo in docs (#5029)
# Fixes an annoying typo in docs

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Fixes Annoying typo in docs - "Therefor" -> "Therefore". It's so
annoying to read that I just had to make this PR.
1 year ago
UmerHA 7388248b3e
Streaming only final output of agent (#2483) (#4630)
# Streaming only final output of agent (#2483)
As requested in issue #2483, this Callback allows to stream only the
final output of an agent (ie not the intermediate steps).

Fixes #2483

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Davis Chase 3bc0bf0079
fix prompt saving (#4987)
will add unit tests
1 year ago
domchan 6c60251f52
Add self query translator for weaviate vectorstore (#4804)
# Add self query translator for weaviate vectorstore

Adds support for the EQ comparator and the AND/OR operators. 

Co-authored-by: Dominic Chan <dchan@cppib.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
SimFG f07b9fde74
Update the GPTCache example (#4985)
# Update the GPTCache example

Fixes #4757
1 year ago
Nicolas 02632d52b3
docs: Big Mendable Improvements (#4964)
- Higher accuracy on the responses
- New redesigned UI
- Pretty Sources: display the sources by title / sub-section instead of
long URL.
- Fixed Reset Button bugs and some other UI issues
- Other tweaks
1 year ago
Mike McGarry ddd595fe81
feature/4493 Improve Evernote Document Loader (#4577)
# Improve Evernote Document Loader

When exporting from Evernote you may export more than one note.
Currently the Evernote loader concatenates the content of all notes in
the export into a single document and only attaches the name of the
export file as metadata on the document.

This change ensures that each note is loaded as an independent document
and all available metadata on the note e.g. author, title, created,
updated are added as metadata on each document.

It also uses an existing optional dependency of `html2text` instead of
`pypandoc` to remove the need to download the pandoc application via
`download_pandoc()` to be able to use the `pypandoc` python bindings.

Fixes #4493 

Co-authored-by: Mike McGarry <mike.mcgarry@finbourne.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Gengliang Wang a87a2524c7
Remove autoreload in examples (#4994)
# Remove autoreload in examples
Remove the `autoreload` in examples since it is not necessary for most
users:
```
%load_ext autoreload,
%autoreload 2
```
1 year ago
Eugene Yurtsev 06e524416c
power bi api wrapper integration tests & bug fix (#4983)
# Powerbi API wrapper bug fix + integration tests

- Bug fix by removing `TYPE_CHECKING` in in utilities/powerbi.py
- Added integration test for power bi api in
utilities/test_powerbi_api.py
- Added integration test for power bi agent in
agent/test_powerbi_agent.py
- Edited .env.examples to help set up power bi related environment
variables
- Updated demo notebook with working code in
docs../examples/powerbi.ipynb - AzureOpenAI -> ChatOpenAI

Notes: 

Chat models (gpt3.5, gpt4) are much more capable than davinci at writing
DAX queries, so that is important to getting the agent to work properly.
Interestingly, gpt3.5-turbo needed the examples=DEFAULT_FEWSHOT_EXAMPLES
to write consistent DAX queries, so gpt4 seems necessary as the smart
llm.

Fixes #4325

## Before submitting

Azure-core and Azure-identity are necessary dependencies

check integration tests with the following:
`pytest tests/integration_tests/utilities/test_powerbi_api.py`
`pytest tests/integration_tests/agent/test_powerbi_agent.py`

You will need a power bi account with a dataset id + table name in order
to test. See .env.examples for details.

## Who can review?
@hwchase17
@vowelparrot

---------

Co-authored-by: aditya-pethe <adityapethe1@gmail.com>
1 year ago
Edrick Da Corte Henriquez e80585bab0
Update tutorials.md (#4960)
# Added a YouTube Tutorial

Added a LangChain tutorial playlist aimed at onboarding newcomers to
LangChain and its use cases.

I've shared the video in the #tutorials channel and it seemed to be well
received. I think this could be useful to the greater community.

## Who can review?

@dev2049
1 year ago
Rahul Rao 13c376345e
Fixed assumptions misspelling (#4961)
Fixed assumptions misspelling in the link mentioned below:-


https://python.langchain.com/en/latest/modules/chains/examples/llm_summarization_checker.html


![image](https://github.com/hwchase17/langchain/assets/16189966/94cf2be0-b3d0-495b-98ad-e1f44331727e)

Fix for Issue:- #4959 

@hwchase17
1 year ago
Gengliang Wang bf5a3c6dec
Support Databricks in SQLDatabase (#4702)
This PR adds support for Databricks runtime and Databricks SQL by using
[Databricks SQL Connector for
Python](https://docs.databricks.com/dev-tools/python-sql-connector.html).
As a cloud data platform, accessing Databricks requires a URL as follows

`databricks://token:{api_token}@{hostname}?http_path={http_path}&catalog={catalog}&schema={schema}`.

**The URL is **complicated** and it may take users a while to figure it
out**. Since the fields `api_token`/`hostname`/`http_path` fields are
known in the Databricks notebook, I am proposing a new method
`from_databricks` to simplify the connection to Databricks.

## In Databricks Notebook
After changes, Databricks users only need to specify the `catalog` and
`schema` field when using langchain.
<img width="881" alt="image"
src="https://github.com/hwchase17/langchain/assets/1097932/984b4c57-4c2d-489d-b060-5f4918ef2f37">

## In Jupyter Notebook
The method can be used on the local setup as well:
<img width="678" alt="image"
src="https://github.com/hwchase17/langchain/assets/1097932/142e8805-a6ef-4919-b28e-9796ca31ef19">
1 year ago
Harrison Chase 88a3a56c1a
Add Spark SQL support (#4602) (#4956)
# Add Spark SQL support 
* Add Spark SQL support. It can connect to Spark via building a
local/remote SparkSession.
* Include a notebook example

I tried some complicated queries (window function, table joins), and the
tool works well.
Compared to the [Spark Dataframe

agent](https://python.langchain.com/en/latest/modules/agents/toolkits/examples/spark.html),
this tool is able to generate queries across multiple tables.

---------

# Your PR Title (What it does)

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<!-- Remove if not applicable -->

Fixes # (issue)

## Before submitting

<!-- If you're adding a new integration, include an integration test and
an example notebook showing its use! -->

## Who can review?

Community members can review the PR once tests pass. Tag
maintainers/contributors who might be interested:

<!-- For a quicker response, figure out the right person to tag with @

        @hwchase17 - project lead

        Tracing / Callbacks
        - @agola11

        Async
        - @agola11

        DataLoaders
        - @eyurtsev

        Models
        - @hwchase17
        - @agola11

        Agents / Tools / Toolkits
        - @vowelparrot
        
        VectorStores / Retrievers / Memory
        - @dev2049
        
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---------

Co-authored-by: Gengliang Wang <gengliang@apache.org>
Co-authored-by: Mike W <62768671+skcoirz@users.noreply.github.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: UmerHA <40663591+UmerHA@users.noreply.github.com>
Co-authored-by: 张城铭 <z@hyperf.io>
Co-authored-by: assert <zhangchengming@kkguan.com>
Co-authored-by: blob42 <spike@w530>
Co-authored-by: Yuekai Zhang <zhangyuekai@foxmail.com>
Co-authored-by: Richard He <he.yucheng@outlook.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
Co-authored-by: Leonid Ganeline <leo.gan.57@gmail.com>
Co-authored-by: Alexey Nominas <60900649+Chae4ek@users.noreply.github.com>
Co-authored-by: elBarkey <elbarkey@gmail.com>
Co-authored-by: Davis Chase <130488702+dev2049@users.noreply.github.com>
Co-authored-by: Jeffrey D <1289344+verygoodsoftwarenotvirus@users.noreply.github.com>
Co-authored-by: so2liu <yangliu35@outlook.com>
Co-authored-by: Viswanadh Rayavarapu <44315599+vishwa-rn@users.noreply.github.com>
Co-authored-by: Chakib Ben Ziane <contact@blob42.xyz>
Co-authored-by: Daniel Chalef <131175+danielchalef@users.noreply.github.com>
Co-authored-by: Daniel Chalef <daniel.chalef@private.org>
Co-authored-by: Jari Bakken <jari.bakken@gmail.com>
Co-authored-by: escafati <scafatieugenio@gmail.com>
1 year ago
Harrison Chase 5feb60f426
Harrison/spell executor (#4914)
Co-authored-by: Jan Minar <rdancer@rdancer.org>
1 year ago
Mike Wang db6f7ed0ba
[nit] Simplify Spark Creation Validation Check A Little Bit (#4761)
- simplify the validation check a little bit.
- re-tested in jupyter notebook.

Reviewer: @hwchase17
1 year ago