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Fix Parallel Coordinate plots handling of categorical variables

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This commit is contained in:
Alex Burlacu 2023-03-23 16:12:31 +02:00
parent 3817f0ca36
commit f9fa303091
1 changed files with 6 additions and 0 deletions
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6
clearml/automation/optimization.py
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@ -1880,7 +1880,13 @@ class HyperParameterOptimizer(object):
except (ValueError, TypeError): except (ValueError, TypeError):
values = list(range(len(col[1:]))) values = list(range(len(col[1:])))
ticks = col[1:] ticks = col[1:]
unique_ticks = list(set(ticks))
d = dict(label=col[0], values=values, tickvals=values, ticktext=ticks) d = dict(label=col[0], values=values, tickvals=values, ticktext=ticks)
if len(ticks) != len(unique_ticks): # Mapping duplicate ticktext
ticktext = {key: i for i, key in enumerate(unique_ticks)}
d["values"] = [ticktext[tick] for tick in ticks]
d["tickvals"] = list(range(len(ticktext)))
d["ticktext"] = list(sorted(ticktext, key=ticktext.get))
pcc_dims.append(d) pcc_dims.append(d)
# report parallel coordinates # report parallel coordinates
plotly_pcc = dict( plotly_pcc = dict(