Questions tagged [pyspark]
The pyspark tag has no usage guidance.
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PySpark using for loops
Questions
Is it possible to use for loops (native) in pyspark 2.1?
Yes --> How can I use these for loops?
No --> Any chance to used on another way?
In my case, I want to transform the following ...
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5 views
using apache spark on a single server
I have huge datasets, but I can only get them via API. I am learning Spark. Does it make sense to train a deep learning model on a single server with Spark? Or it is not a right use case ?
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18 views
LogesticRegression fit() function is throwing this error
i'm following datacamp pyspark tutorial series and on chapter 04 Model tuning and selection in fitting the model, I'm getting this error when i execute these line
...
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0answers
12 views
KMeans clustering with both numerical and categorical data in PySpark
I need to do KMeans clustering using both numerical and categorical data. There is KModes algorithm for clustering using only categorical data and KPrototypes algorithm for clustering using both ...
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0answers
8 views
Update Machine Learning models in Mllib dataframe based PySpark (2.2.0)
I have built a Machine Learning model based on clustering, & now just want to update it with new data periodically (on daily basis). I am using PySpark Mlib, & not able to find any method in ...
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19 views
How to extract LIFT from association rules using PySpark FPgrowth (pyspark.ml.fpm import FPGrowth)
I have been working on fetching association rules so far using minimum support and confidence. Now I aim to get rid of garbage rules using LIFT.
I looked up on apache sparks website, they recently ...
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0answers
26 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
64 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
70 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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0answers
18 views
How to find number of Gaussians in GaussianMixture?
I have been using the elbow method to find optimal K value in K-means.
Now while using GaussianMixture (Using Spark), how to find the number of gaussians say 2 OR 3 OR more...?
Thanks
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1answer
200 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
507 views
Replacing null with average in pyspark
I have a problem during upsampling operation in PySpark. My dataframe is:
...
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1answer
199 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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0answers
76 views
How to apply class imbalance techniques on a pyspark.sql.dataframe.DataFrame
I am working on a binary classification model(using RF, logit, and svm) and my data is highly imbalanced, so I am trying to use 'SMOTE' etc techniques for oversampling the minority class.
Currently, ...
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1answer
34 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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0answers
20 views
Error while accessing prediction results on Zeppelin
I trained a RandomForestClassifier(rfModel) on Zeppelin and trying to test it using raw data. I am running into error when I try to access the predicted dataframe using show()/print functions.
Any ...
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0answers
161 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, ...
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0answers
39 views
Streaming Recommender System using Spark
I have trained a recommender model using ALS from spark.mlib. Now I want to consider the incoming ratings to my model. My data is in form of spark's DataFrame. The idea is to use spark streaming, so I ...
3
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2answers
45 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 ...
1
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1answer
3k 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
66 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 ...
0
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2answers
126 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
1k views
2
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1answer
29 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:
...
3
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2answers
484 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
228 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 ...
2
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1answer
1k 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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0answers
17 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 ...
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0answers
115 views
Binomial regression and Logistic regression returns different models on Spark
I have 2 models compared on Spark:
...
3
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1answer
3k 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 ...
0
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2answers
66 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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1answer
737 views
Filling missing values with pyspark using a probability distribution
I want to fill missing values in my dataframe.
...
0
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0answers
841 views
Similarity Matrix in PySpark
I want to generate similarity matrix (based on euclidean distance) of a large dataset on a spark cluster in pyspark. How can it be done??
1
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2answers
6k 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
68 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 ...
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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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0answers
118 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
391 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 ...
-1
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1answer
717 views
Words from LDA output pyspark ml
I have built a pipelined lda model using pyspark's ml. The code is below:
tokenizer = Tokenizer(inputCol='formatted_transcript',
outputCol='words')
stopWordsRemover = StopWordsRemover(...
1
vote
1answer
3k views
Plot RDD data using a pyspark dataframe from csv file [closed]
I have just started working with pyspark on very large csv file. I am using Spark version 2.1.0. I want to read data from a .csv file and load it into a spark dataframe and then after filtering ...
0
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1answer
321 views
Pyspark code is not performant enough when compared to pure python alternative
I transformed the existing code which was in python pasted below was in pyspark.
Python code:
...
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2answers
49 views
Predicting the variable's score using predictive analytics
I am new to predictive analytics but I am good at programming (like Spark, R).
I have 10 variables and I know their score's for over a long period of time. I want to know which variable will have ...
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0answers
76 views
Predicting sales in unobserved locations
I am building a model that is trying to predict the 5 year sales production of a salesperson in every zip code in the United States. I have only 7 years of data. This task is one piece of a larger ...
3
votes
2answers
2k views
Is there any use to running Pandas on Spark?
I just started working with PySpark this week, and the instance I have access two has Pandas installed. But what use is having Pandas on Spark?
Isn't the whole purpose of running scripts on PySpark ...
1
vote
1answer
4k views
Dataframe request with groupBy
I'm a beginner in Spark and I want to calculate the average of number per name.
I have a JSON file with this information
...
4
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0answers
78 views
RDD of gziped files to “uncompressed” Dataframe [closed]
I have a bunch of compressed text files each line of which containing a JSON object. Simplified my workflow looks like this:
...
2
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2answers
3k views
spark item similarity recommendation
I would like to build an recommendation engine using spark's Mlib itemsimilarity as mentioned here LINK
But it seems spark do not have this algorithm any more and ...
10
votes
1answer
2k views
Spark ALS: recommending for new users
The question
How do I predict the rating for a new user in an ALS model trained in Spark? (New = not seen during training time)
The problem
I'm following the official Spark ALS tutorial here:
...
1
vote
1answer
562 views
PrefixSpan model input RDD format
I am trying to understand the input for the PrefixSpan model (pyspark). I thought in the input RDD, each row should be a list. However, as I looked into the source code, each row is actually a list of ...
