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Co-authored-by: PiffPaffM <markuspaff.mp@gmail.com>
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Branden Chan 2021-06-23 19:07:54 +02:00 committed by GitHub
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20
docs/_src/api/api/pipelines.md
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@ -387,19 +387,19 @@ and the further processing can be customized. You can define this by connecting
Pass your own `Sklearn` binary classification model or use one of the following pretrained ones:
1) Keywords vs. Questions/Statements (Default)
query_classifier="https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost_query_classifier/model.pickle"
query_vectorizer="https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost_query_classifier/vectorizer.pickle"
query_classifier can be found [here](https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost\_query\_classifier/model.pickle)
query_vectorizer can be found [here](https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost\_query\_classifier/vectorizer.pickle)
output_1 => question/statement
output_2 => keyword query
[Readme](https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost_query_classifier/readme.txt)
[Readme](https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost\_query\_classifier/readme.txt)
2) Questions vs. Statements
`query_classifier`="https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost_query_classifier_statements/model.pickle"`
`query_vectorizer`="https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost_query_classifier_statements/vectorizer.pickle"`
query_classifier can be found [here](https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost\_query\_classifier\_statements/model.pickle)
query_vectorizer can be found [here](https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost\_query\_classifier\_statements/vectorizer.pickle)
output_1 => question
output_2 => statement
[Readme](https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost_query_classifier_statements/readme.txt)
[Readme](https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost\_query\_classifier\_statements/readme.txt)
See also the [tutorial](https://haystack.deepset.ai/docs/latest/tutorial11md) on pipelines.
@ -409,9 +409,9 @@ and the further processing can be customized. You can define this by connecting
```python
| __init__(model_name_or_path: Union[
| str, Any
| ] = "https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost_query_classifier/model.pickle", vectorizer_name_or_path: Union[
| ] = "https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost\_query\_classifier/model.pickle", vectorizer_name_or_path: Union[
| str, Any
| ] = "https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost_query_classifier/vectorizer.pickle")
| ] = "https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost\_query\_classifier/vectorizer.pickle")
```
**Arguments**:
@ -454,14 +454,14 @@ and the further processing can be customized. You can define this by connecting
model_name_or_path="shahrukhx01/bert-mini-finetune-question-detection"
output_1 => question/statement
output_2 => keyword query
[Readme](https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost_query_classifier/readme.txt)
[Readme](https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost\_query\_classifier/readme.txt)
2) Questions vs. Statements
`model_name_or_path`="shahrukhx01/question-vs-statement-classifier"
output_1 => question
output_2 => statement
[Readme](https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost_query_classifier_statements/readme.txt)
[Readme](https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost\_query\_classifier\_statements/readme.txt)
See also the [tutorial](https://haystack.deepset.ai/docs/latest/tutorial11md) on pipelines.

2
docs/_src/usage/usage/pipelines.md
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@ -90,7 +90,7 @@ To load, simply call:
pipeline.load_from_yaml(Path("sample.yaml"))
```
For another example YAML config, check out [this file](https://github.com/deepset-ai/haystack/blob/master/rest_api/pipelines.yaml).
For another example YAML config, check out [this file](https://github.com/deepset-ai/haystack/blob/master/rest_api/pipeline/pipelines.yaml).
### Multiple retrievers
You can now also use multiple Retrievers and join their results:

16
haystack/pipeline.py
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@ -623,21 +623,21 @@ class SklearnQueryClassifier(BaseComponent):
Pass your own `Sklearn` binary classification model or use one of the following pretrained ones:
1) Keywords vs. Questions/Statements (Default)
query_classifier="https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost_query_classifier/model.pickle"
query_vectorizer="https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost_query_classifier/vectorizer.pickle"
query_classifier can be found [here](https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost_query_classifier/model.pickle)
query_vectorizer can be found [here](https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost_query_classifier/vectorizer.pickle)
output_1 => question/statement
output_2 => keyword query
[Readme](https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost_query_classifier/readme.txt)
2) Questions vs. Statements
`query_classifier`="https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost_query_classifier_statements/model.pickle"`
`query_vectorizer`="https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost_query_classifier_statements/vectorizer.pickle"`
output_1 => question
output_2 => statement
[Readme](https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost_query_classifier_statements/readme.txt)
query_classifier can be found [here](https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost_query_classifier_statements/model.pickle)
query_vectorizer can be found [here](https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost_query_classifier_statements/vectorizer.pickle)
output_1 => question
output_2 => statement
[Readme](https://ext-models-haystack.s3.eu-central-1.amazonaws.com/gradboost_query_classifier_statements/readme.txt)
See also the [tutorial](https://haystack.deepset.ai/docs/latest/tutorial11md) on pipelines.
See also the [tutorial](https://haystack.deepset.ai/docs/latest/tutorial11md) on pipelines.
"""