dtree | A simple pure-Python decision tree construction algorithm | Machine Learning library

The built-in rule for compiling .c files to .o files uses $(CFLAGS), not $(App_C_Flags).

Is it possible that the rule

According to the documentation of plot_tree for its filled parameter:

filled: bool, default=False
When set to True, paint nodes to indicate majority class for classification, extremity of values for regression, or purity of node for multi-output.

So in classification tasks, the color indicates to which class the majority of the samples at each node belong to.

This is very likely to be a versioning problem. Your scikit-learn version is probably the latest version and the model.pkl you downloaded from the repo you mentioned is an old and incompatible version.

To avoid this kind of problem, we should stick to best practices such as using a requirements.txt file defining exactly the versions using during development. The same versions could then be installed on production.

If you really need to use this model.pkl from the repo, I'd suggest creating a GitHub issue asking for a requirement.txt file. Alternatively, you could try different scikit-learn versions until you get it working, but this can be very cumbersome.

This is error mostly raise when we try to access list item using string than index number For example if list having ["hii","hello","bye"] and this list's element can be called by index number but if we insert string in the place of index this type of error occurs

This is my favorite version of deleting a node in BST - use deleteNode function, with root being the root node and key being the node value that you want to delete.

There were two problems:

1. SSH authenticated communication must be enabled between all nodes in the cluster. Even though all nodes in my Spark cluster are in the same network, only the master had SSH authentication to the workers and not vise versa.

2. The model must be available to all nodes in the cluster. This may sound really obvious but I thought that the model files need to only be available to the master who then diffuses this to the worker nodes. In other words, when you load the model like so:

For that you'd have to write

Have you tried importing the specific method you need from pydotplus instead?

Like: from pydotplus import graph_from_dot_data since you're only using that one method from the module.

Yes, you can achieve this using the following code: