Questions tagged [pyspark]

The Spark Python API (PySpark) exposes the apache-spark programming model to Python.

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17 views

PicklingError: Could not serialize object: TypeError: can't pickle fasttext_pybind.fasttext objects

I built a fasttext classification model in order to do sentiment analysis for facebook comments (using pyspark 2.4.1 on windows). When I use the prediction model function to predict the class of a ...
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36 views

Pyspark: Filter dataframe based on separate specific conditions

How can I select only certain entries that match my condition and from those entries, filter again using regex? For instance, I have this dataframe (df) ...
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Where is $SPARK_HOME on an EC2 instance?

I am working on an EC2 instance with anaconda and pyspark pre-installed. My $SPARK_HOME variable is not set. Any ideas on how to locate my spark home?
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28 views

Record Linkage problem

I am building Matching Alogoritm using ML.Project is to match Internal customer data with external customer data.Features are names,address,city,state and zip. We create pairs between data sets and ...
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3 views

PCAModel and PipelineModel, how to get explainedVariance

in pyspark PCAModel contains explainedVariance() method , but once you use Pipeline and specify PCA as a "stage", you will get a PipelineModel as an output and this one does not contain ...
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16 views

Pyspark Pipeline Custom Transformer

I'm having some trouble understanding the creation of custom transformers for Pyspark pipelines. I am writing a custom transformer that will take the dataframe column Company and remove stray commas: ...
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11 views

Data sharing between Custom Tranformer and estimator in pyspark

Using Titanic Dataset for classification. Created custom Estimator and transformer for pipeline. some of logical operation need to be done in fit() method and data ...
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14 views

I got a overall mean average precision score of 0 for a recommendation engine

I just wanted to know if receiving an overall MAP score of 0 in a recommendation engine was possible, or a sign that my calculation or my logic for the engine was wrong.
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14 views

Code completion and suggestion EMR Notebook

I Created an EMR Cluster with Pyspark and connected to its notebook. However i noticed there's no code completion neither method documentation. Has anyone ever had the same issue? Didi you solve it? ...
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1answer
143 views

Model ensemble with Spark or Scikit Learn

I am using Spark MLLib to make prediction and I would like to know if it is possible to create your custom Estimators. Here is a reproducible of what I would like my model to do with the Spark api <...
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14 views

Getting parameters of the best model with crossvalidation in with SparkMLLib

I am having trouble accessing the parameters of estimators of model in SparkMLlib. More precisely my problem is: I have a logistic regression model for which I want to find the best regularization ...
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1answer
108 views

K-modes implementation in pyspark

I'm looking for an implementation of k-modes in pyspark. I found this and this as implementations. First, I tried implementing k-modes using the first link and faced issues. So I went ahead and tried ...
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20 views

Obtain learning curve of Gradient Boosted Tree model in PySpark

Currently there seems to be no method in PySpark of checkpointing the performance of a model at each gradient update. Is there a way to get the performance of a model at each gradient update so that a ...
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1answer
35 views

Null predictions for ALS in Pyspark

I am trying to read from my dataset which has three coloumns. (User, Repository and Number of Stars) In[10] ...
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30 views

Can we use gunicorn to deploy pyspark models?

I have created a pyspark model and want to deploy it as a real time application. I am using Flask to handle requests and gunicorn to handle multiple requests by increasing workers and threads. To run ...
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287 views

Spark DataFrame Limit Function Takes Too Much Time to Show

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2answers
150 views

PySpark v Pandas Dataframe Memory Issue

Suppose I have a csv file with 20k rows, when I import in Pandas dataframe format and run the ML algos like Random Forest or Logistic Regression from sklearn package it just runs fine. But same thing ...
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70 views

What is the difference between PySpark's featuresCol, labelCol, predictionCol, and probabilityCol?

I am attempting to train a random forest classifier (pyspark.ml.classification.RandomForestClassifier) on a large dataset (~70gb). However, I am not sure what to ...
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1answer
205 views

Using keras tokenizer on Spark DataFrame. Column is not iterable [closed]

I am having trouble using the Tokenizer The code is ...
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152 views

alternatives to pyspark to query a csv file locally (no distributed computation needed)

I am reading a csv file with pyspark to extract some information from it. I am running pyspark locally and I do not need distributed computation. On the contrary I need some plotting library such as ...
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0answers
12 views

Is there a built-in pyspark function for the paradigm union(filter, take)? [closed]

Essentially, filtering by key, taking a specific number (based on key) from the DataFrame, and unioning these results for a number of values. For example, ...
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1answer
46 views

Best Data Science & Machine Learning Conferences 2019? [closed]

What are the best data science conferences you have attended? I am looking for a conference that will help me further develop my Data Science and Machine Learning competencies. Topics that are ...
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2answers
181 views

Why is there a difference of “ML” vs “MLLIB” in Apache Spark's documentation?

I am trying to figure out which pyspark library to use with Word2Vec and I'm presented with two options according to the pyspark documentation. https://spark.apache.org/docs/2.2.0/mllib-feature-...
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1answer
302 views

cosine similarity between items (purchase data) and normalisation

I'm using IndexedRowMatrix which represents the products's user purchase behaviours and in order to build product recommendations, I use cosine similarity to calculate similarities between products. ...
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1answer
472 views

Accumulators in Spark (PySpark) without global variables?

BACKGROUND Consider the following textbook example which uses accumulators to add vectors. ...
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1answer
1k views

PySpark: java.io.EOFException

System: 1 name node, 4 cores, 16 GB RAM 1 master node, 4 cores, 16 GB RAM 6 data nodes, 4 cores, 16 GB RAM each 6 worker nodes, 4 cores, 16 GB RAM each around 5 Terabytes of storage space The data ...
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2answers
2k views

Reliable way to verify Pyspark data frame column type

If I read data from a CSV, all the columns will be of "String" type by default. Generally, I inspect the data using the following functions which gives an overview of the data and its types ...
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1answer
3k views

Replacing null with average in pyspark

I have a problem during upsampling operation in PySpark. My dataframe is: ...
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1answer
3k views

Plotting in PySpark?

I have been searching for methods to plot in PySpark. I couldn't find any resource on plotting data residing in DataFrame in PySpark. The only methods which are listed are: through method ...
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75 views

Apache Spark Understanding

I have read a lot about Apache Spark. About RDD, DataFrames etc etc. But I haven't come across a simple explanation as to why and where should we be using Apache Spark? If my primary goal is machine/...
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423 views

Frequent itemset vs. frequent sequence mining algorithms on variables with an inherent order

I've been using Pyspark's PrefixSpan algorithm to mine sequences of variables with an inherent order (bus stops). I know that PrefixSpan takes into consideration the order of the items it is fed, ...
4
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2answers
316 views

k-means|| in PySpark

I'm trying to apply k-means$\|$ clustering in PySpark. According to this paper, there is an oversampling factor, $l$, that would affect the model's cost. I couldn't find any parameter regarding ...
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6k views

Adding multiple columns to spark dataframe

I would like to add several columns to a spark (actually pyspark) dataframe , these columns all being functions of several input columns in the df. There seems to be no 'add_columns' in spark, and ...
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0answers
122 views

Running H2O in databricks

I'm trying to run H2O in databricks. However, when I do the following: hc = pysparkling.H2OContext.getOrCreate(spark) I get the following error: java.lang.AbstractMethodError Does anyone know what ...
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2answers
383 views

Exponential runtime on distance matrix

I have an exploratory script running a Databricks notebook that performs a simple arithmetic function (Pythagorean theorem) on all possible pairwise combinations of a list of pairs of floats (akin to ...
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1answer
3k views

convert list of tuple of tuple to list of tuple in pySpark

Code: ...
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1answer
40 views

PySpark Filter shows only 1 row

I have a 12 GB .csv file and I am trying to filter rows based on some value in a column under "AppName" Doing this in Pyspark: ...
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2answers
1k views

What are the alternatives to Python + Spark (pyspark)?

I like Python, and I like Spark, but they don't fit very well together. In particular, it is very hard to use python functions in spark (have to create JVM binding for function in python) it is ...
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1answer
346 views

Use of Random Forest algorithm in PySpark for imputation

I am wondering how to use Random Forest algorithm for imputing missing values in a dataset. It is supposed to work well with missing values but I am not sure how those missing values are dealt with ...
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1answer
2k views

Run python script using spark-submit on windows 7

I'm trying to submit a python script using spark-submit on windows 7. I'm using spark 2.3.0 built for hadoop 2.7 . The python script is supposed to read data from a csv file and plot graphs. is it ...
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19 views

Recommender system: Give a feature more significance than another

I am trying to build a recommender system that predicts hotel prices based on a great number of features. I have a column representing the hotel rating out of 5 and another column indicating the ...
6
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1answer
7k views

PySpark dataframe repartition

What happens when we do repartition on a PySpark dataframe based on the column. For example dataframe.repartition('id') Does this moves the data with the similar ...
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2answers
98 views

KMeans for crime patterns

I'm trying to find the patterns in the crime records I have in a database. I thought clustering would be a way to do it. This is my (cooked up) dataset: ...
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2answers
1k views

Filling missing values with pyspark using a probability distribution

I want to fill missing values in my dataframe. ...
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2answers
14k views

Is there any way to read Xlsx file in pyspark?Also want to read strings of column from each columnName

pd is a panda module is one way of reading excel but its not available in my cluster. I want to read excel without pd module. Code1 and Code2 are two implementations i want in pyspark. Code 1: ...
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1answer
84 views

Install Spark and Hadoop in the same machine [closed]

I'm trying to install Spark Apache and Hadoop in the same machine. Spark will be used to process data, and HDFS from Hadoop will be used to store data. I first started by installing spark and it ...
4
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1answer
1k views

Spark development on local machine with PyCharm

I am wondering what is the best practice other devs are using for their python spark jobs. I am building a dev environment in which I am looking to write code in PyCharm with SparkContext pointing to ...
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146 views

Creating a user-based recommendation engine?

I have a data set of some questions and answers that users have completed by choices. I'm trying to build a recommendation engine to find similar users based on their answers on top of this. So for ...
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0answers
484 views

How to do Feature Extraction using Apache Spark

I am a newbie to Machine Learning and I have to do feature extraction for a banking application to detect / predict fraudulent transactions. I have come across few articles on Feature Extraction ...
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1answer
1k views

Words from LDA output pyspark machine learning

I built a pipeline for an LDA model using pyspark's machine learning. Here is my code: ...