AttributeError: 'numpy.ndarray' object has no attribute 'columns' about auto_ts HOT 15 CLOSED

Sorry for the error. Can you Please try the updated version 0.66 which you can upgrade via:

pip install git+git://github.com/AutoViML/Auto_TS

from auto_ts.

Sorry for the error. Can you Please try the updated version 0.66 which you can upgrade via:

pip install git+git://github.com/AutoViML/Auto_TS

Thank you! i have been trying in google colab but some how this version is not getting installed

Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/
Collecting git+git://github.com/AutoViML/Auto_TS
Cloning git://github.com/AutoViML/Auto_TS to /tmp/pip-req-build-038ouc6r
Running command git clone -q git://github.com/AutoViML/Auto_TS /tmp/pip-req-build-038ouc6r
fatal: unable to connect to github.com:
github.com[0: 140.82.114.4]: errno=Connection timed out

WARNING: Discarding git+git://github.com/AutoViML/Auto_TS. Command errored out with exit status 128: git clone -q git://github.com/AutoViML/Auto_TS /tmp/pip-req-build-038ouc6r Check the logs for full command output.
ERROR: Command errored out with exit status 128: git clone -q git://github.com/AutoViML/Auto_TS /tmp/pip-req-build-038ouc6r Check the logs for full command output.

from auto_ts.

Earlier i was using
!pip3 install git+https://github.com/AutoViML/Auto_TS.git --user and the library was working fine for the past 3-4 days
today only i face this issue ...request your help here :-)

from auto_ts.

Hi @pankajmdan 👍 Can you provide access to the dataset so I can trouble shoot it? Or can you provide me a list of calling statements to see where the error is? That way I can upload it to pypi and you can install it via pip install auto_ts --upgrade

what do you think? (you can attach your dataset and notebook as a zip file here)
AutoVimal

from auto_ts.

Dataset

datawolag.csv

Codeblock

https://colab.research.google.com/drive/1j_w4o3R25lW1JUejsIWbajjgkXp0SsEw?usp=sharing

from auto_ts.

Is it possible to revert to this morning status for 4-5 days more ?

from auto_ts.

You should be able to use the existing version on the pypi web site without having to use Github version. Have you tried?

pip install auto_ts

and see how that works?

from auto_ts.

Hi @pankajmdan 👍
The latest uploaded Github version of auto_ts works well. Check the notebook here
https://colab.research.google.com/drive/1wFOMA7VDggr0ll0JUq0nNen1PYBMsuqQ?usp=sharing

from auto_ts.

Thanks again
Yes essentially tried all and than only have written to you
Only working version seemed to be the github version which has also stopped ....

pip install auto_ts ...............
It runs for the VAR model only and not the best / FB Prophet
did all the updates .. have installed all again.

on Local PC
Running Facebook Prophet Model...
Fit-Predict data (shape=(173, 15)) with Confidence Interval = 0.95...
Starting Prophet Fit
Adding monthly seasonality to Prophet with period=12, fourier_order=12 and prior_scale=0.10
Starting Prophet Cross Validation
Max. iterations using expanding window cross validation = 3

Fold Number: 1 --> Train Shape: 158 Test Shape: 5

KeyError Traceback (most recent call last)
KeyError: 'metric_file' Issue #1670 on Github

On colab It is the Loader error

TypeError Traceback (most recent call last)
in ()
5 from datetime import datetime
6 #import auto_ts as AT
----> 7 from auto_ts import auto_timeseries as ATS
8 from auto_ts import auto_timeseries
9

5 frames
/usr/local/lib/python3.7/dist-packages/distributed/config.py in ()
18
19 with open(fn) as f:
---> 20 defaults = yaml.load(f)
21
22 dask.config.update_defaults(defaults)

TypeError: load() missing 1 required positional argument: 'Loader'

from auto_ts.

I got a similar error on Colab. You need to restart the kernel after installing auto-ts via pip3. Try it.

from auto_ts.

Thank you so much , It seems to work 👍
Though i was running the same code with kernel restart .. just that now the VAR model on this dataset has disappeared

from auto_ts.

Hi @pankajmdan 👍
I removed the VAR model from the "best" selection since it is taking too long even for tiny datasets. From now on, you must run the fit method again with "VAR" as its own model setting. I am sorry.

from auto_ts.

Super, Thank you so much .. Really appreciate your response
One more bit : Spend 2 days now but unable to get the fitted values of any Model e.g Prophet, VAR
Can i check that ? .....forecast is pretty clear
BR//Pankaj

from auto_ts.

By any chance you intend to include VAR as well in the near term to have a cohenrent view ?
Thanks again

from auto_ts.

I will put back VAR since people seem to like it. However beware that it takes a long time for large datasets. You can try again with installing from Github as follows

pip install git+git://github.com/AutoViML/Auto_TS

AutoViML

from auto_ts.