Programmatic

The Python API can be built without YAML by constructing ThemaRS and feeding a dataframe.

from pulsar import ThemaRS
import pandas as pd

df = pd.read_csv("data.csv")
model = ThemaRS({
    "run": {"name": "example"},
    "preprocessing": {
        "impute": {"age": {"method": "sample_normal", "seed": 42}},
        "drop_columns": []
    },
    "sweep": {
        "pca": {"dimensions": {"values": [2]}, "seed": {"values": [42]}},
        "ball_mapper": {"epsilon": {"values": [0.5]}}
    },
    "cosmic_graph": {"threshold": "auto"},
    "output": {"n_reps": 3}
})
model.fit(data=df)
matrix = model.weighted_adjacency
threshold = model.resolved_threshold