I have separate preprocessing and training Python scripts. I would like to track my experiments using mlflow.
Because my scripts are separate, I am using a Powershell script (think of it as a shell script, but on Windows) to trigger the Python scripts with the same configuration and to make sure that all the scripts operate with the same parameters and data.
How can I track across scripts into the same mlflow run?
I am passing the same experiment name to the scripts. To make sure the same run is picked up, I thought to generate a (16 bit hex) run ID in my Powershell script and pass it to all the Python scripts.
This doesn't work as when a run ID is given to mlflow_start_run(), mlflow expects that run ID to already exist and it fails with mlflow.exceptions.MlflowException: Run 'dfa31595f0b84a1e0d1343eedc81ee75' not found.
If I pass a run name, each of the scripts gets logged to a different run anyways (which is expected).
I cannot use mlflow.last_active_run() in subsequent scripts, because I need to preserve the ability to run and track/log each script separately.
Related
Obviously, the same program is run, and the code is the same. Why do two of them appear the same
When you execute scripts with the same name but different file locations or run configurations this can happen.
It can be useful in a variety of situations; where you want to run the same script in multiple different versions of python. Each Run configuration can be setup to use a separate interpreter. Though, it would be wise to rename the run configuration.
In this case, pycharm simply took the name of the script and appended (1) when it saw another run configuration of that same name already existed.
I'm writing a Python script (on Windows) which must be run under an elevated CMD (because it runs a subprocess call which must have administrator privileges).
However - inside the script, there's a part which doesn't work when run as admin, but does work when run as a normal user (accessing a mapped network drive).
I would like to un-elevate the script for a particular part, or just in the middle of it.
Also, since the script wil be run in an automated way, I would like no need for user clicking or input during the script.
For example:
do_stuff_as_user_x_admin()
un_elevate()
do_stuff_as_user_x_non_admin()
How can I achieve this?
I have a Python 2.7 script that among others contains the following piece of code:
import spss
columns = []
spss.StartDataStep()
dataset = spss.Dataset()
for column in dataset.varlist:
columns.append(column.name)
spss.EndDataStep()
print columns
When running this code inside a SPSS syntax (so between BEGIN PROGRAM. and END PROGRAM), it runs as expected and I end up with the variables in the active dataset.
However, when running the same code as part of a script (so from Utilities > Run script...) will return me no results.
It looks as if the SPSS session context is not taken into consideration when running a script.
Is there a way around this problem, or am I doing something wrong?
I don't want to run my code as part of Syntax file, I just want to use vanilla Python scripts.
This is, unfortunately, a complicated issue. I don't think Statistics is working as documented. I will take this up with Development.
It appears that in V24, when you run a Python script via Utilities > Run Script (which is the same as issuing the SCRIPT command), your script is connected to the Statistics Viewer process but not to the Statistics backend (the spssengine process), which is where the data live. There are typically three processes running - the stats.exe process, the spssengine process, and, for Python code, the startx process. Your script can issue commands via the spss.Submit api and can use other spss apis, but they go against a new copy of the backend, so the expected backend context is not present.
To get around this, you can run a trivial program like
begin program.
import ascript
end program.
where ascript.py is a Python module on the Python search path. (You could put these lines in an sps file and use INSERT to execute it, too.)
Another way to approach this would be to run Statistics in external mode. In that mode, you run a Python program that uses SPSS apis but the Python program is on top, and no Statistics user interface appears. You can read about this in the Python scripting help.
An advantage of external mode is that you can use your favorite Python IDE to build and debug your code. That's a big advantage if you are basically a Python person. I use Wing IDE, but any Python IDE should work. You can also set up an alternative IDE as your default by editing the clientscriptingcfg.ini file in the Statistics installation directory. See the scripting help for details. With a tool like Wing, this lets you debug your scripts or other Python code even if run within Statistics.
I wrote a Python program which will be executed on both the Primary Production server, as well on the Disaster Recovery server. There is a slight difference in behavior when the program is run on the Disaster Recovery server.
Therefore the program needs to determine which server it is running on.
We have many other ksh programs running on these servers, which have the same requirement: run on both servers, but there could be a slight difference on the DR server. All of these scripts 'dot' in an environment file, then check " if environment variable $DR_SITE equal 1" to determine if its running on the DR server.
I want to use the existing environment file from my Python program - to determine if it is running on the DR server. I can not just read the this environment file, it is actually a ksh script that itself has some logic prior to setting the DR_SITE variable.
Which brings me to the original question:
How do you 'dot' in (or execute an environment file as described above in python, in order to inherit the environment variables set by the ?
For example, in ksh I would execute this:
. /path/env.set
I tried this, but it did not seem to work (I printed out the DR_SITE value before calling the os.system call, and after, it did not change):
os.system(". /appl/gfpd2/current/D2soe_set")
You could write a ksh script that sources and executes the environment setter and then invokes the Python program;
#!/usr/bin/env ksh
. /path/env.set
exec python /path/your_script.py
Exec is used to save some memory.
(I'm omitting the passing of variables to the Python script since I'm not familiar with ksh.)
I am using the Command Prompt in Windows 8 to perform some analytical tasks with Python.
I'm using a few external libraries, some .py files with functions I need, and some set up commands (like setting certain variables based on databases I need to load).
In all there are about 20 statements. The problem is, that each time I want to work on it, I have to manually enter (copy/paste) all of these commands into the Shell, which adds a few minutes each time.
Is there any way I can save all of these commands somewhere and automatically load them into the prompt when needed?
Yes,
Save your commands in any file in your home directory. Then set your PYSTARTUP environment variable to point to that file. Every time you start the python interpreter it will run the commands from the startup file
Here is the link to example of such file and more detailed explanation
If you need to have different start up files for different projects. Make a set of shell scripts one per project. The scripts should look like this:
#!/bin/bash
export PYTHONSTARTUP=~/proj1Settings.py
python
And so on. Or you can simply change the value of PYTHONSTARTUP variable before you start working on a particular project. Personally, I use MacOS with Iterm2, so I set-up multiple profiles for different projects. When I need to work on a particular project I simply launch a tab with the profile configured for the project.