abalon | Various utility functions for Hadoop , Spark etc
kandi X-RAY | abalon Summary
kandi X-RAY | abalon Summary
Various utility functions for Hadoop, Spark etc.
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Top functions reviewed by kandi - BETA
- Write a dataframe to an hdfs file
- Perform HDFS merge operation
- Swap string to dst_file
- Delete a file
- Check if a file exists
- Rename a HDFS file
- Load data from a csv file
- Partition a pandas dataframe
- Zips a DataFrame with a given offset
- Spark a dataframe
- Performs a pivot operation on a Pandas DataFrame
- Return a spark object
- Aggregate a Pandas DataFrame
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abalon Examples and Code Snippets
Community Discussions
Trending Discussions on abalon
QUESTION
I'm writing a recursive backtracking search to find anagrams for a phrase. For the first step, I'm trying to filter out all the wrong words from a dictionary before I feed it to the recursive algorithm.
The dictionary file looks like this:
...ANSWER
Answered 2021-Mar-17 at 23:15A regex is the wrong tool for comparing character counts. Any regex that satisfies this requirement is likely to be awkward and terribly inefficient. You will be far better off traversing each word and keeping track of the individual character counts.
Anyway, here is a method for constructing a regex that matches the "wrong words" (the other way around is much harder): First, from the set of distinct characters {a1,...,aN}
contained in the phrase, you can match all words containing any illegal character with [^a1,...,aN]
. Then, for each character c
that appears n
times in your target string, build a sub-expression (.*c.*){n+1}
, then join these fragments with |
. For clint eastwood
you should get:
QUESTION
I am new to machine learning and have been getting myself to learn neural networks. This week I've tried coding a neural network using this dataset. https://archive.ics.uci.edu/ml/datasets/abalone
The dataset contains details of individual abalones such as their size, gender, etc. My goal with this dataset is to predict the ages of abalone. This could be done by multiplying the rings of abalone by 1.5 as the dataset also reveals how one ring contributes to around 1.5 years of age. Therefore, my goal is to use a neural network to predict the number of rings an abalone has. That way, I will know its age as well.
I decided to have 4 layers with 300 nodes in the hidden layer and 1 in the output. Here is my code:
...ANSWER
Answered 2021-Mar-05 at 00:25I think the issue might be the following: From your description of the problem you are trying to perform a regression task, i.e. predicting the age of the abalones. The age could in theory be any positive real number. Therefore, the accuracy metric you are using here is unsuited to the task, since it is used for classification tasks, that is, when the output belongs to one of a fixed and discrete set of possibilities. Therefore I would suggest using a different metric to measure your model results, such as Mean Squared Error or Mean Absolute Error, which are suitable for regression.
Also, note that while your metric (accuracy) has a value of 0, your loss function is decreasing with each epoch, which shows your model is improving :)
QUESTION
I have two dataframes of different sizes. They both have four columns: Words, x, y and z.
However, when joining these two dataframes, I want to keep the values of x, y, z of the words that are similar. The words that doesn't exist in df1 but exist in df2 are kept.
I tried to use pd.merge
but this will keep the two values and only similar words. And if I use pd.concat
I have to drop similar elements, but will not be from the first data frame.
ANSWER
Answered 2021-Jan-25 at 23:33You can use df.append
to append df1
to df2
, followed by drop_duplicates
, with keep='last'
, then sort_index
and reset_index
:
QUESTION
I have 2 MongoDB Collections: crystals
& cleanses
Crystal Schema:
...ANSWER
Answered 2020-Oct-06 at 23:42Updated the return Object.assign() to get the correct results:
QUESTION
For example,
...ANSWER
Answered 2020-Jul-05 at 22:34Easy:
QUESTION
I'm a beginner in Machine Learning and was trying to work with Abalone dataset. I tried to predict the age of the abalones (refer this for the dataset). I ran an XGBoost Regressor and the code worked fine when I implemented the following:
...ANSWER
Answered 2020-Mar-28 at 12:17Try changing this line
model.fit(X_train,y_train, early_stopping_rounds=5, eval_set=([X_test,y_test]))
to
model.fit(X_train,y_train, early_stopping_rounds=5, eval_set=[(X_test,y_test)]
Your updated code which runs without error:
QUESTION
Whenever opening this file in weka constantly receive errors 'not recognised as an 'Arff data files' file. Reason: number expected, read Token[M], line 16. However whenever I try to rectify an error another would pop up. New to this and so would anyone know where I seem to be making the mistake. Appreciate the help.
...ANSWER
Answered 2020-Feb-21 at 21:33You have 10 attribute lines, but only 9 attributes in your data.
Also, in your data the codes are M, F, I but you have indicated they are Male, Female, Infant in your attribute statement.
I'm guessing that you think you are just assigning class to sex, but the class variable in Weka is automatically the last variable. I've rearranged this for you below and verified that it will load properly.
QUESTION
...How can I change values of age column if age <=8 replace small age >8 and age <12 replace medium age >12 replace large.
ANSWER
Answered 2019-Nov-01 at 04:36this can be done by replacing values first and then mapping them with the actually needed values :
QUESTION
At first I want to do sampling in dataset using bagging. After that I will use back propagation algorithm for training and testing. Suppose I will select randomly 40% data from the dataset to create 1 sample set. After that I will take again 40% data form the total dataset and create another dataset.
Code for sampling:
...ANSWER
Answered 2019-Oct-23 at 05:23if you want to make 20 samples of a dataset , u can use pandas.DataFrame.sample
and store each of the samples to dictionary.
QUESTION
gemItems:
...ANSWER
Answered 2019-Oct-07 at 15:48Use double quotes around your ngFor
in order to work:
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Install abalon
You can use abalon like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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