experimenter | Use git to record experiment results | Machine Learning library

I have two data frames with different #s of observations (one is long with 2220 obs, the other is wide with 37 obs). The data frames share the variable "SID", although in the long data frame there is 60 rows for each SID value and in the wide one there is only one. The wide data frame has an additional variable "Experimenter", each SID has a corresponding Experimenter number. I would like to make an "Experimenter" column in the long data frame, there are 60 instances for each SID though and I would like the corresponding Experimenter value to be added and repeated each time the SID value occurs (so 60 times).

Nested if-else commands for every subject seems very tedious so I'm hoping there's an alternative

I've added the dput output from each data frame, unfortunately, I'm not sure how to embed them. Right now in the long data frame "SID" is named "Subject" but they are the same variable.

Wide:

I am developing a Shiny App to allow experimenters to quickly visualize and interact with their data. At this time, the Shiny app is programmed to do three things:

1. Print the header info. of the uploaded file (successful)
2. Print a summary of the uploaded file (successful)
3. Print basic statistics of selected identifiers (not successful) (I have modified the following code and have pasted the Updated code below the older version.

In the Shiny App, am able to upload and select column names from the uploaded file, but I do not get the basic statistics output I am looking for. For reference, this is the vector I called 'bs()'.

When I run the app, before even uploading the test file, I get the following error message:

I am looking a way to separated my code for app i am creating. This is just experimenter, and i am not sure if i it's good thing

My project structure looks like this

| --app

|

|--login

In my login android library, i have Login screen with just two input field nothing special.

So, how do i use this, in my app project?

Do i need to publish it to use it as url? Or i can use it internally?

settings.gradle

I've got some troubles during the model evaluation using Tensorflow with the Experimenter API.

I used to work using 2-classes NN, but this time I manage to train a 4-classes one and I need to figure out how to build a confusion matrix in this case. I tried using the tf.confusion_matrix function, but it doesn't work at all.

This is the fragment of code that I used:

I have been trying to use DataFrameMapper to add multiple pre-processing transformations on my dataframe into my scikit-learn Pipeline.

I am creating dynamic pipelines in scikit-learn and I set the scoring function as a parameter string on the GridSearchCV:

gs = GridSearchCV(pipeline, grid, scoring='accuracy')

However, when I try to get the scoring function that was used in order to evaluate the predictions, this is what I get:

I am trying to use weka but it cannot. I have a .mat file that I generated in MATLAB and tried to convert it to WEKA format.

Things that I tried:

1. .mat to .xml (to use it in WEKA experimenter part) to do that I used the following code in here and WEKA gives error and says that "couldn't open experiment file"

2. tried to convert it as .arff file to use in WEKA explorer and followed the instructions here

But I have no idea about what classes and relation means in the code. I also couldn't find it on the internet. What are these two values meaning?

Best,