Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escaping: Escape characters +-&|!(){}[]^"~*?:\ with \, e.g. \+
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
Answered
Hello, I'M Wondering If I Can Stop The Specific Logging For One Plot (Using Matplotlib). When The Data Points Become More, Then The Gui Of

Hello, I'm wondering if I can stop the specific logging for one plot (using matplotlib). When the data points become more, then the GUI of results -> plots gets stuck, and even the website's content disappears. I'm also wondering the performance issue. I encounter the issue using ClearML cloud version.

  
  
Posted one year ago
Votes Newest

Answers 12


SuccessfulKoala55 No, I don't know how to turn off and turn on the auto-logging. Could you tell me? Thanks.

  
  
Posted one year ago

SuccessfulKoala55 Ok. Here is my code. Thanks.
` def plot_feature_scatter(df1, df2, features):
i = 0
sns.set_style("whitegrid")
plt.figure

fig, ax = plt.subplots(5, 4, figsize=(20, 20))

for feature in features:
    i += 1
    plt.subplot(5, 4, i)
    plt.scatter(df1[feature], df2[feature], marker="+", color='#2B3A67', alpha=0.2)
    plt.xlabel(feature, fontsize=9)
    
plt.show()

plot_feature_scatter(train_df.sample(50000), test_df.sample(50000), features) `

  
  
Posted one year ago

SuccessfulKoala55 The image is something like this.
My questions are two
Is it possible to let ClearML not record this plot manually? Doesn't ClearML have performance issue for this kind of plot?

  
  
Posted one year ago

SuccessfulKoala55 I don't understand your meaning.

  
  
Posted one year ago

So I assume what grows is the features list?

  
  
Posted one year ago

Performance issues are actually derived from the size of the plot object

  
  
Posted one year ago

ScaryBluewhale66 , please look in:
https://clear.ml/docs/latest/docs/references/sdk/task#taskinit
The relevant section for you is auto_connect_frameworks
The usage would be along these lines:
Task.init(..., auto_connect_frameworks={'matplotlib': False})

  
  
Posted one year ago

Hi ScaryBluewhale66 , do you have such an example of a plot?

  
  
Posted one year ago

CostlyOstrich36 Ok. Thanks.

  
  
Posted one year ago

I just thought maybe I could assist in explaining how to downscale the plot when saving 🙂

  
  
Posted one year ago

Hi SuccessfulKoala55 Do u mean give you the code to plot the image (but not including the data) or the image or the experiment I encountered this performance issue?

  
  
Posted one year ago

You can turn off the auto-logging, and just report what you need manually, will that do?

  
  
Posted one year ago
546 Views
12 Answers
one year ago
one year ago
Tags