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Questions tagged [pipelines]

A pipeline is a sequence of functions (or the equivalent thereof), composed so that the output of one is input for the next, in order to create a compound transformation. Famously, a shell pipeline looks like "command | command2 | command3" (but use the tag "pipe" for this). It's also used in computer architecture to define a sequence of serial stages that execute in parallel over elements being fed into a pipe, in order to increase the overall throughput.

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120 views

unsupervised anomaly detection for univariate fast frequency time series data?

I have a univariate time series (there is a value for each time sampling) (sampling time: 66.66 micro second, number of samples/sampling time=151) coming from a scala customer This time series ...
0 votes
1 answer
128 views

How to make a pipeline for Videos Dataset for TensorFlow [Sequence Matters] & train Model Effectively with Low Memory System

I am working on a Deep Learning project and I am facing an issue with the size of the dataset. I want to make a pipeline for video dataset [Sequence Matters]. Because if I try the load the whole ...
0 votes
1 answer
81 views

Data transformation pipeline error

When I'm making data transformation pipeline on a dataset I keep getting error as " all the input array dimensions except for concatenation axis must match exactly, but along dimension 0, the ...
0 votes
0 answers
9 views

Feedback on this plan to make a data pipeline

I am picturing something like the following: List internet sources you want to acquire data from. Study the source code structure for each site. Try to build an “extractor” for each individual site ...
0 votes
1 answer
2k views

Error getting prediction explanation using shap_values when using scikit-learn pipeline?

I am building an NLP model to predict language type (C/C++/C#/Python...) for a given code. Now I need to provide an explanation for my model prediction. For example the following user_input is written ...
0 votes
1 answer
62 views

SkLearn DecisionTree doesn't include numerical variables after one hot encoding pipeline

I'm trying to fit a dataframe with SkLearn DecisionTree with the following code. But I get a error Length of feature_names, 9 does not match number of features, 8. ...
0 votes
1 answer
1k views

sklearn predict: IndexingError: ('Too many indexers', 'occurred at index <name>')

The goal of what I'm trying to accomplish here is to have the output contain all of the use_cols but the model only be built to calculate on categorical_features. The output will then be used to ...
0 votes
2 answers
1k views

Does Scikit-Learn's OneHotEncoder make all Columns Categorical?

I've been using Scikit-Learn's OneHotEncoder to turn categorical data into binary columns, however, it seems that fitting ...
0 votes
1 answer
519 views

What is the best\correct data split approach over time-series data to compare performance of forecasting future data among ML and DL regressors?

Let's say I have dataset contains a timestamp (non-standard timestamp column without datetime format) as a single feature and count as Label/target to predict ...
1 vote
0 answers
147 views

What is the best practices of ETL pipeline using Luigi python package?

I am looking more for concepts or pointed in the right direction for best practices for a project I am working on. I am currently playing around with Luigi package for the ETL pipeline. I followed the ...
0 votes
1 answer
3k views

Shap after scikit pipeline - feature name

I'm using pipeline to transform data and predict model and I want to apply SHAP after that. However, when I apply it, it returns SHAP chart just fine, but the name of the feature are like feature 1, ...
1 vote
0 answers
31 views

Integrating MLFlow and SageMaker for a More Robust ML Model Deployment Pipeline

I'm seeking advice on enhancing the deployment pipeline of a machine learning model that's accessed via a FastApi in production. My goal is to replace the existing setup with a more robust and ...
0 votes
1 answer
40 views

Add tuning stage to DVC pipeline

I have an ML pipeline built with DVC that I use for experiment tracking. This allows running and tracking several experiments. Also, using hydra integration I can grid search hyper parameters. However,...
0 votes
0 answers
14 views

Data Transformation Pipeline Issue on Flight Fare Prediction End-to-End Machine Learning Project

I am following the process shown on Wine Quality Prediction End-to-End ML Project on Krish Naik's YouTube channel to do a Flight Fare Prediction Project. I am facing an issue with Data Transformation ...
0 votes
0 answers
23 views

How to handle multiple training jobs in AWS Sagemaker Pipelines?

I am trying to create a pipeline for training an image dataset via Sagemaker Pipelines. Based on the examples I understood that for all distinct stages like data preparation, model training, ...
0 votes
0 answers
67 views

How does TensorFlow method tf.data.Dataset.reduce() work?

I was trying to compute the mean of the images that I fetched from a GCS bucket using TensorFlow's tf.data input pipeline. For this, I came across two methods: ...
0 votes
0 answers
60 views

Create a TensorFlow Input pipeline from GCS Bucket?

I wish to generate a TensorFlow input pipeline (i.e. tf.data pipeline) for an image classification project. The images stored in a GCS bucket having access controls and is not publicly accessible. And ...
0 votes
2 answers
636 views

Dynamic creation of sklearn pipeline

I am trying to create an automatic pipeline builder functionality that takes into account a large set of conditions such as the existence of missing values, the scale of numerical features, etc., and ...
0 votes
1 answer
225 views

Explaining the logic behind the pipe_line method for cross-validation of imbalance datasets

Reading the following article: https://kiwidamien.github.io/how-to-do-cross-validation-when-upsampling-data.html There is an explanation of how to use ...
6 votes
3 answers
982 views

What is the meaning of the term "pipeline" within data science?

People often refer to pipelines when talking about models, data and even layers in a neural network. What can be meant by a pipeline?
0 votes
0 answers
43 views

Memory Error when loading a txt file for an ML model

I am trying to run the Python code below: ...
1 vote
1 answer
1k views

Got some troubles with using OneHotEncoder to multiple categories

I'm trying to get the final pipeline on the titanic dataset(Example was taken from the 'Hands-on ML' book). ...
0 votes
1 answer
311 views

Creating new features as linear combination of others as part of a scikit-learn pipeline?

I have a number of raw features that go into a scikit-learn model. I've already got a number of preprocessing steps (such as PolynomialFeatures) that creates additional features as part of my pipeline....
0 votes
2 answers
45 views

Optimization of the entire model development process

I want to perform a global optimization of the entire model development pipeline. I have several stages of development, each of which can be performed automatically: preprocessing, removal of outliers/...
1 vote
0 answers
110 views

How do SciKit-Learn Pipelines pass Data between Steps?

I would like to create some Custom Transformers and incorporate them in a SciKit-Learn Pipeline. I'd like to pass more than just a Dataframe between the transformer ...
1 vote
1 answer
21 views

How to solve mismatched code dependency issues between two or more different ML models/structures/frameworks?

I'm fairly new to machine learning. Currently I am trying to build a pipeline that uses two established NLP models. One is BERT that is fairly easy to load and quite structured. Another is FLAIR which ...
1 vote
1 answer
665 views

Combining sklearn pipelines with different output shape

As part of a data preprocessing step, I'm trying to create a "master pipeline" from two separate pipelines, one for numerical features and one for datetime features. The numerical pipeline ...
0 votes
0 answers
1k views

Sklearn pipeline and custom transformers to remove specific value from columns

I'm trying to use sklearn pipelines and custom transformers to do outlier removal. What I want to do is identify outliers using an IQR-filter, set the outlier values to 'OUTLIER' (not NaN), and then ...
2 votes
2 answers
788 views

Is it good practice to include data cleaning or feature engineering steps in an sklearn pipeline to create a scalable pipeline?

I am working on implementing a scalable pipeline for cleaning my data and pre-processing it before modeling. I am pretty comfortable with the sklearn Pipeline ...
0 votes
1 answer
169 views

Custom preprocessing using piplines

I have searched a lot for this issue but unfortunately came up with nothing. Usually in a ML model, during preprocessing, we use Pipelines and ...
2 votes
2 answers
66 views

I cannot work out the benefits of a pipeline over a linear sequence of code instructions

I've looked at quite a number of how to 'create a pipeline' instructions, but I have yet to see an explanation of the benefits over what I am showing below. To keep my example code agnostic I'll use ...
0 votes
1 answer
650 views

Need an example of a custom class whose instance is fed to sklearn Pipeline / make_pipeline to use with GridSearchCV

According to sklearn.pipeline.Pipeline documentation, the class whose instance is a pipeline element should implement fit() and transform(). I managed to create a custom class that has these methods ...
0 votes
0 answers
214 views

How to retrain sklearn pipeline with new data?

I have trained and saved a data processing pipeline and an LGBM regressor on 3 months of historical data. Now I know that I can retrain the LGBM regressor on new data every day by passing my trained ...
0 votes
1 answer
995 views

Retrieving the ordinal encoding of a variable after it's placed in a pipeline/columntransformer

I am applying ordinal encoding to a dataset through a column transformer - how can I retrieve the ordinal encoding of a feature (e.g. Area)? ...
0 votes
0 answers
161 views

Does sklearn.pipeline have a single mechanism for cross-validation regardless of model API?

With a single standard interface (sklearn.pipeline) on top of different regressors, how do I use cross-validation? The example below uses two regressors with different internal cross-validation ...
0 votes
1 answer
614 views

Custom vectorizer transformer in sklearn with cross validation

I created a custom transformer class called Vectorizer() that inherits from sklearn's ...
1 vote
1 answer
268 views

How to combine preprocessor/estimator selection with hyperparameter tuning using sklearn pipelines?

I'm aware of how to use sklearn.pipeline.Pipeline() for simple and slightly more complicated use cases alike. I know how to set up pipelines for homogeneous as well ...
1 vote
1 answer
3k views

How to get column names after One Hot Encoding when using Pipelines?

I am using Pipeline and ColumnTransformer to preprocess the data. Basically I am using them to impute null values, scale the ...
1 vote
1 answer
579 views

ColumnTransformer worse performance than sklearn pipeline

I have an (unbalanced , binary data) pipeline model consisting of two pipelines (preprocessing and the actual model). Now I wanted to include SimpleImputer into my ...
1 vote
2 answers
673 views

Deep Neural Network Model in sklearn Pipeline

Is it possible to add a deep neural network model as the estimator/model in an sklearn Pipeline? or is it only possible for ML models as the estimator. For example, ...
1 vote
1 answer
47 views

when I only give command 'fit', my class does 'transform' too

I have created 2 classes, first of which is: ...
2 votes
1 answer
4k views

How can I get the dataframe after scikit pipeline?

I'm making many data transformations and fitting a model using scikit pipeline, but I need to extract X_train and X_test right after transformations (imputer, encoding, etc) in order to use it for ...
0 votes
2 answers
9k views

AttributeError: 'numpy.ndarray' object has no attribute 'fit' [closed]

I am relatively new to ML and in the process of learning pipelines. I am creating a pipeline of custom transformers and get this error: AttributeError: 'numpy.ndarray' object has no attribute 'fit'. ...
4 votes
1 answer
222 views

What can I do when my test and validation scores are good, but the submission is terrible?

This is a very broad question, I understand and I'm totally fine if someone believes it's not appropriate to do it. But it's killing me not to understand this... Here's the thing, I'm doing a machine ...
0 votes
1 answer
28 views

determining size of batch, time of sending and memory in to send from scala to ML section

I have a time series (sampling time: 66.66 micro second, number of samples/sampling time=151), I would like to determine some anomalies in them, the inputs are made by scala customer message bus. ...
0 votes
0 answers
487 views

Pipelines with categorical and nan values

I am trying a Regression model on a dataset which has categorical and numerical variables along with nan values. I want to use Pipelines for imputation and encoding purposes. Now I have a few ...
2 votes
1 answer
170 views

Alternative to EC2 for running ML batch training jobs on AWS

We are building an ML pipeline on AWS, which will obviously require some heavy-compute components including preprocessing and batch training. Most the the pipeline is on Lambda, but Lambda is known to ...
2 votes
1 answer
498 views

TPOT machine learning

I trained a regression TPOT algorithm on Google Colab, where the output of the TPOT process is some boiler plate Python code as shown below. ...
1 vote
0 answers
25 views

Working with others: Tidy data vs Pretty data [closed]

When working with someone whose background and skill level in data work may not be strong, how do you best make the argument for tidy data over "pretty" data? There are notes of what I want ...
4 votes
1 answer
2k views

How to apply dataset balancing techniques whilst using Pipeline in Sklearn?

I am new to Machine Learning and trying to construct machine learning models that adhere to good practice and not susceptible to biases. I have decided to use Sklearn's ...