We need to add a yes and no label on the arrows when we plot a tree interpreter. Also we should be ideally using the population summary inference values, when calculating p-values and CIs at the leafs.

Hello. I am trying to migrate my project from basic logging to something more advanced and someone recommended this module through reddit. I have been through the quick-start guide and other available documentation and have some very basic questions about the API.

How can I parse the logs and format them for the stdout?

Is there a way to stream what's being written to the log, just like the

import numpy as np
from networkx import barabasi_albert_graph
from causaldag import DAG

def directed_random_graph(nnodes, random_graph_model):
edges = random_graph_model(nnodes).edges
random_permutation = np.arange(nnodes)
np.random.shuffle(random_permutation)
arcs = []
for edge in edges:
node1, node2 = edge
node1_position = np.where(random_permutati

We want to enforce that types all live in <gamename>/src/types.rs. Need to write a small program to do this that we can run as a pre-commit hook.

This is a good issue for non-experts because it doesn't require knowledge of much of rust, or Toybox. A very rudimentary version could just grep through the file for structs and enums. This could put restrictions on comments. A more sophisticated v

In the optimal_bandwidth() function, allow the user to specify alternative kernels.