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Using GHCi to simplify Haskell code

I would like to know if it is possible to simplify the following code using Haskell methods or by using GHCi commands. The purpose of this is to write shorter code or to lessen the typing requirement.
Using the Compose function, you end up typing something like this to create the function:
compose. apply. union. zipWith (\x y -> x ++ “,” ++ y). drop 1. map word

Using the Haskell interpreter, I do not see how this can be simplified.

Compose is not a Haskell method. I don’t know what it is, but I doubt it has anything to do with GHCi.
GHCi lets you do anything you can type into a shell, as long as it produces Haskell code.

Compose is a function in the Data.Function module, so you have to import the Data.Function module first in order to use it.
For this, you can use ghci-extras, a library that is providing extension of GHCi capabilities.
Note that by using ghci-extras you are also using “native” ghci, thus you might have different behaviour than using GHCi in its default mode.
Edit: additional info here: How does one load the Haskell package for using ghci-extras?

Getting average latency and load for web server running on Amazon cloud

I have implemented Apache (instead of IIS) web server on Windows 2008 r2 virtual machine running on Amazon cloud. For the main page there are some jquery widgets on the page, which were build in jQuery.
The problem is that the main page takes too long to load and it takes about 1 second (measured with tester tool).
Is there a way to monitor the server load and latency (if its possible by Amazon tools)?
Is it possible to monitor the page load time from server side?

I’ve not used any tools to monitor the

https://colab.research.google.com/drive/1t2uAyZL_YAcZ1YTpgCGWl8Wi3CRo0TGj
https://colab.research.google.com/drive/1kq1AfHHesPVaLJJe2Rq2FCcwdcRfwXwf
https://colab.research.google.com/drive/136gJ08P80az6qvWXQzRWJyA09Lyfl1fU
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What is the Google cloud ML package called?

I’m working with the Google cloud ML package to try to make predictions using some of the machine learning models. The documentation suggests there is a “prediction package”, but I couldn’t find it on the package repo:
Does anyone know what it’s called?
Also, I noticed this:
which says:

What is Cloud ML Engine Predictions?
…
Cloud ML Engine Predictions is a service that’s available in beta
form. It makes it easy to incorporate machine learning or deep
learning models into any application (from a web game to a chatbot)
with a few lines of code. The service lets you create models to
recognize, classify, and predict new data. Predictions can be made as
in-place updates to your model — for example, a model may predict that
a new review should be accepted. Predictions can also be made from
stored data — for example, a model may predict that a new review of a
certain type should be accepted.
What are the machine learning algorithms that support Predictions?
…
Machine learning algorithms that support Predictions include:

ANN
BMF
DFS
KNN
LR
OneClassSVM
SVC

Can anyone help me find the “prediction package”?

In short, Google Cloud Machine Learning Engine offers 3 choices for deploying your machine learning model:

Google Prediction API for Python
Google Prediction API for Java
Google Prediction API for Go

Which one you want depends on your own skills and preferences.
Of the 3, I most fond of the Go version, which allows easy integration into Go programs and compile time checking.

You should be able to find this package by searching for the name of the class you want to train (eg. kmeans)
If you create a new model project in the Developers Console you can browse that to find the class
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