-
Custom Metrics
I'd like to generate a metric that reflects the sum of two columns: sum(column1) + sum(column2) Is there an option to achieve this in a 'no-code' environment, without having to use Python? I attempted to use groupby, but it necessitated creating a column with identical values just for the groupby operation, and then…
-
Managed Folder
Is there a way to restore any mistakenly deleted Managed Folder attached to a deleted recipe (python)? Thanks.
-
predict using model in the lab inside a notebbok
I'm training a set of models as given below. How do I access the best model I selected at the end and use that model to make predictions in the notebook? I am able to access the saved models but not the models only present in the lab. if trained_model_MAPE > ERROR_THRESHOLD: # Wait for the ML task to be ready…
-
Issue with Dataiku Python API Interpreting Paths as Local File System Instead of HDFS
Problem Statement: When attempting to read a Dataiku dataset into a Spark DataFrame using the Dataiku Python API (`dataiku.Dataset` and `dkuspark.get_dataframe`), an error occurs indicating that the input path does not exist. However, when directly reading the CSV file from HDFS using Spark's `read.csv` method, the…
-
Data IKU
I am not able to find an option to add new project in data iku home page.
-
How to access the model metrics and features from a deployed model?
Hi, I have deployed a model in Dataiku flow. I'm trying to access the model from a notebook and get some model details, as shown below. <dataikuapi.dss.metrics.ComputedMetrics at 0x7ff5ddf5eee0> But instead of returning a list of metrics, it returns the following. import dataiku# Connect to the Dataiku instanceclient =…
-
Selecting features in ML task
I'm training a set of models as given below. I want to include only one variable 'feature1' for training. but it appears that all the columns in the data are used for training. How do I include only this feature while training? if trained_model_MAPE > ERROR_THRESHOLD: # Wait for the ML task to be ready…
-
[dku.utils] - NameError: name 'dku' is not defined
Hello, I tried to run a python recipe and I got the error: [dku.utils] - NameError: name 'dku' is not defined Here is the full job log. Thanks for your help
-
Python Environment will not build
"The Protobuf compiler, `protoc`, which is required for" RuntimeError: The Protobuf compiler, `protoc`, which is required for building this package, could not be found.Failed to build pycld3Installing collected packages: sklearn-crfsuite, pycld3, packaging, murmurhash, langid, joblib, catalogue, blis, backports.zoneinfo,…
-
AttributeError: 'function' object has no attribute 'info'
Hi Dataiku community, I encountered the AttributeError as shown in the title when I ran a Python recipe that was created from a notebook. The notebook runs correctly (without any error), but when it is converted into a Python recipe. The AttributeError was thrown immediately after the recipe finished executing the last…