probability_threshold_attribute in ModelQualityCheckConfig cannot be a PipelineVariable #4227

Description

@leviBernadine

Describe the bug

probability_threshold_attribute (str or PipelineVariable): Threshold to

As an user of sagemaker pipeline, I want to use the QualityCheckStep for monitoring my model concept drift.
When I want to configure the ModelQualityCheckConfig I cannot set the probability_threshold_attribute attribute with a PipelineVariable (tested on either sagemaker.workflow.properties.Properties and sagemaker.workflow.parameters.Parameter)

To reproduce

from sagemaker.workflow.parameters import ParameterString
from sagemaker.workflow.quality_check_step import ModelQualityCheckConfig, QualityCheckStep
parameter_label_used_threshold = ParameterString(
name="used_threshold",
default_value="0.5",
) model_quality_check_config = ModelQualityCheckConfig(
problem_type = "BinaryClassification",
probability_attribute= ...,
probability_threshold_attribute=parameter_label_used_threshold,
ground_truth_attribute= ..., baseline_dataset=...,
dataset_format= ...,
output_s3_uri=...
)
baseline_monitor_model_step_process = QualityCheckStep(
name=...,
skip_check=...,
register_new_baseline=...,
quality_check_config=model_quality_check_config,
check_job_config=...,
model_package_group_name=...,
cache_config=..,
supplied_baseline_statistics=...,
supplied_baseline_constraints=...,
)

Will raise error

File /opt/conda/lib/python3.10/site-packages/sagemaker/workflow/quality_check_step.py:426, in QualityCheckStep._generate_baseline_processor(self, baseline_dataset_input, baseline_output, post_processor_script_input, record_preprocessor_script_input)
415 probability_attribute = (
416 str(quality_check_cfg.probability_attribute)
417 if quality_check_cfg.probability_attribute is not None
418 else None
419 )
420 ground_truth_attribute = (
421 str(quality_check_cfg.ground_truth_attribute)
422 if quality_check_cfg.ground_truth_attribute is not None
423 else None
424 )
425 probability_threshold_attr = (
--> 426 str(quality_check_cfg.probability_threshold_attribute)
427 if quality_check_cfg.probability_threshold_attribute is not None
428 else None
429 )
430 normalized_env = ModelMonitor._generate_env_map(
431 env=self._model_monitor.env,
432 dataset_format=quality_check_cfg.dataset_format,
(...)
442 probability_threshold_attribute=probability_threshold_attr,
443 )
445 return Processor(
446 role=self._model_monitor.role,
447 image_uri=self._model_monitor.image_uri,
(...)
459 network_config=self._model_monitor.network_config,
460 )
File /opt/conda/lib/python3.10/site-packages/sagemaker/workflow/entities.py:86, in PipelineVariable.__str__(self)
84 def __str__(self):
85 """Override built-in String function for PipelineVariable"""
---> 86 raise TypeError(
87 "Pipeline variables do not support __str__ operation. "
88 "Please use `.to_string()` to convert it to string type in execution time"
89 "or use `.expr` to translate it to Json for display purpose in Python SDK."
90 )
TypeError: Pipeline variables do not support __str__ operation. Please use `.to_string()` to convert it to string type in execution timeor use `.expr` to translate it to Json for display purpose in Python SDK.

Expected behavior
To set probability_threshold_attr with a pipelineVariable.

System information
SageMaker Python SDK version: 2.194.0
Python version: 3.10.6

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      , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
       blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
      }
      } catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
      })();
      (function(){
      try {
      var __m = "github.com";
      var __re = new RegExp('^' + "github\\.com" + '
      
      Skip to content

      probability_threshold_attribute in ModelQualityCheckConfig cannot be a PipelineVariable #4227

      Description

      @leviBernadine

      Describe the bug

      probability_threshold_attribute (str or PipelineVariable): Threshold to

      As an user of sagemaker pipeline, I want to use the QualityCheckStep for monitoring my model concept drift.
      When I want to configure the ModelQualityCheckConfig I cannot set the probability_threshold_attribute attribute with a PipelineVariable (tested on either sagemaker.workflow.properties.Properties and sagemaker.workflow.parameters.Parameter)

      To reproduce

      from sagemaker.workflow.parameters import ParameterString
      from sagemaker.workflow.quality_check_step import ModelQualityCheckConfig, QualityCheckStep
      parameter_label_used_threshold = ParameterString(
      name="used_threshold",
      default_value="0.5",
      ) model_quality_check_config = ModelQualityCheckConfig(
      problem_type = "BinaryClassification",
      probability_attribute= ...,
      probability_threshold_attribute=parameter_label_used_threshold,
      ground_truth_attribute= ..., baseline_dataset=...,
      dataset_format= ...,
      output_s3_uri=...
      )
      baseline_monitor_model_step_process = QualityCheckStep(
      name=...,
      skip_check=...,
      register_new_baseline=...,
      quality_check_config=model_quality_check_config,
      check_job_config=...,
      model_package_group_name=...,
      cache_config=..,
      supplied_baseline_statistics=...,
      supplied_baseline_constraints=...,
      )
      

      Will raise error

      File /opt/conda/lib/python3.10/site-packages/sagemaker/workflow/quality_check_step.py:426, in QualityCheckStep._generate_baseline_processor(self, baseline_dataset_input, baseline_output, post_processor_script_input, record_preprocessor_script_input)
      415 probability_attribute = (
      416 str(quality_check_cfg.probability_attribute)
      417 if quality_check_cfg.probability_attribute is not None
      418 else None
      419 )
      420 ground_truth_attribute = (
      421 str(quality_check_cfg.ground_truth_attribute)
      422 if quality_check_cfg.ground_truth_attribute is not None
      423 else None
      424 )
      425 probability_threshold_attr = (
      --> 426 str(quality_check_cfg.probability_threshold_attribute)
      427 if quality_check_cfg.probability_threshold_attribute is not None
      428 else None
      429 )
      430 normalized_env = ModelMonitor._generate_env_map(
      431 env=self._model_monitor.env,
      432 dataset_format=quality_check_cfg.dataset_format,
      (...)
      442 probability_threshold_attribute=probability_threshold_attr,
      443 )
      445 return Processor(
      446 role=self._model_monitor.role,
      447 image_uri=self._model_monitor.image_uri,
      (...)
      459 network_config=self._model_monitor.network_config,
      460 )
      File /opt/conda/lib/python3.10/site-packages/sagemaker/workflow/entities.py:86, in PipelineVariable.__str__(self)
      84 def __str__(self):
      85 """Override built-in String function for PipelineVariable"""
      ---> 86 raise TypeError(
      87 "Pipeline variables do not support __str__ operation. "
      88 "Please use `.to_string()` to convert it to string type in execution time"
      89 "or use `.expr` to translate it to Json for display purpose in Python SDK."
      90 )
      TypeError: Pipeline variables do not support __str__ operation. Please use `.to_string()` to convert it to string type in execution timeor use `.expr` to translate it to Json for display purpose in Python SDK.
      

      Expected behavior
      To set probability_threshold_attr with a pipelineVariable.

      System information
      SageMaker Python SDK version: 2.194.0
      Python version: 3.10.6

      Metadata

      Metadata

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        No projects

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          No milestone

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          None yet

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          No branches or pull requests

          Issue actions

          , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
          Skip to content

          probability_threshold_attribute in ModelQualityCheckConfig cannot be a PipelineVariable #4227

          Description

          @leviBernadine

          Describe the bug

          probability_threshold_attribute (str or PipelineVariable): Threshold to

          As an user of sagemaker pipeline, I want to use the QualityCheckStep for monitoring my model concept drift.
          When I want to configure the ModelQualityCheckConfig I cannot set the probability_threshold_attribute attribute with a PipelineVariable (tested on either sagemaker.workflow.properties.Properties and sagemaker.workflow.parameters.Parameter)

          To reproduce

          from sagemaker.workflow.parameters import ParameterString
          from sagemaker.workflow.quality_check_step import ModelQualityCheckConfig, QualityCheckStep
          parameter_label_used_threshold = ParameterString(
          name="used_threshold",
          default_value="0.5",
          ) model_quality_check_config = ModelQualityCheckConfig(
          problem_type = "BinaryClassification",
          probability_attribute= ...,
          probability_threshold_attribute=parameter_label_used_threshold,
          ground_truth_attribute= ..., baseline_dataset=...,
          dataset_format= ...,
          output_s3_uri=...
          )
          baseline_monitor_model_step_process = QualityCheckStep(
          name=...,
          skip_check=...,
          register_new_baseline=...,
          quality_check_config=model_quality_check_config,
          check_job_config=...,
          model_package_group_name=...,
          cache_config=..,
          supplied_baseline_statistics=...,
          supplied_baseline_constraints=...,
          )
          

          Will raise error

          File /opt/conda/lib/python3.10/site-packages/sagemaker/workflow/quality_check_step.py:426, in QualityCheckStep._generate_baseline_processor(self, baseline_dataset_input, baseline_output, post_processor_script_input, record_preprocessor_script_input)
          415 probability_attribute = (
          416 str(quality_check_cfg.probability_attribute)
          417 if quality_check_cfg.probability_attribute is not None
          418 else None
          419 )
          420 ground_truth_attribute = (
          421 str(quality_check_cfg.ground_truth_attribute)
          422 if quality_check_cfg.ground_truth_attribute is not None
          423 else None
          424 )
          425 probability_threshold_attr = (
          --> 426 str(quality_check_cfg.probability_threshold_attribute)
          427 if quality_check_cfg.probability_threshold_attribute is not None
          428 else None
          429 )
          430 normalized_env = ModelMonitor._generate_env_map(
          431 env=self._model_monitor.env,
          432 dataset_format=quality_check_cfg.dataset_format,
          (...)
          442 probability_threshold_attribute=probability_threshold_attr,
          443 )
          445 return Processor(
          446 role=self._model_monitor.role,
          447 image_uri=self._model_monitor.image_uri,
          (...)
          459 network_config=self._model_monitor.network_config,
          460 )
          File /opt/conda/lib/python3.10/site-packages/sagemaker/workflow/entities.py:86, in PipelineVariable.__str__(self)
          84 def __str__(self):
          85 """Override built-in String function for PipelineVariable"""
          ---> 86 raise TypeError(
          87 "Pipeline variables do not support __str__ operation. "
          88 "Please use `.to_string()` to convert it to string type in execution time"
          89 "or use `.expr` to translate it to Json for display purpose in Python SDK."
          90 )
          TypeError: Pipeline variables do not support __str__ operation. Please use `.to_string()` to convert it to string type in execution timeor use `.expr` to translate it to Json for display purpose in Python SDK.
          

          Expected behavior
          To set probability_threshold_attr with a pipelineVariable.

          System information
          SageMaker Python SDK version: 2.194.0
          Python version: 3.10.6

          Metadata

          Metadata

          Assignees

          No one assigned

            Labels

            Type

            No type

            Projects

            No projects

              Milestone

              No milestone

              Relationships

              None yet

              Development

              No branches or pull requests

              Issue actions

              , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
              Skip to content

              probability_threshold_attribute in ModelQualityCheckConfig cannot be a PipelineVariable #4227

              Description

              @leviBernadine

              Describe the bug

              probability_threshold_attribute (str or PipelineVariable): Threshold to

              As an user of sagemaker pipeline, I want to use the QualityCheckStep for monitoring my model concept drift.
              When I want to configure the ModelQualityCheckConfig I cannot set the probability_threshold_attribute attribute with a PipelineVariable (tested on either sagemaker.workflow.properties.Properties and sagemaker.workflow.parameters.Parameter)

              To reproduce

              from sagemaker.workflow.parameters import ParameterString
              from sagemaker.workflow.quality_check_step import ModelQualityCheckConfig, QualityCheckStep
              parameter_label_used_threshold = ParameterString(
              name="used_threshold",
              default_value="0.5",
              ) model_quality_check_config = ModelQualityCheckConfig(
              problem_type = "BinaryClassification",
              probability_attribute= ...,
              probability_threshold_attribute=parameter_label_used_threshold,
              ground_truth_attribute= ..., baseline_dataset=...,
              dataset_format= ...,
              output_s3_uri=...
              )
              baseline_monitor_model_step_process = QualityCheckStep(
              name=...,
              skip_check=...,
              register_new_baseline=...,
              quality_check_config=model_quality_check_config,
              check_job_config=...,
              model_package_group_name=...,
              cache_config=..,
              supplied_baseline_statistics=...,
              supplied_baseline_constraints=...,
              )
              

              Will raise error

              File /opt/conda/lib/python3.10/site-packages/sagemaker/workflow/quality_check_step.py:426, in QualityCheckStep._generate_baseline_processor(self, baseline_dataset_input, baseline_output, post_processor_script_input, record_preprocessor_script_input)
              415 probability_attribute = (
              416 str(quality_check_cfg.probability_attribute)
              417 if quality_check_cfg.probability_attribute is not None
              418 else None
              419 )
              420 ground_truth_attribute = (
              421 str(quality_check_cfg.ground_truth_attribute)
              422 if quality_check_cfg.ground_truth_attribute is not None
              423 else None
              424 )
              425 probability_threshold_attr = (
              --> 426 str(quality_check_cfg.probability_threshold_attribute)
              427 if quality_check_cfg.probability_threshold_attribute is not None
              428 else None
              429 )
              430 normalized_env = ModelMonitor._generate_env_map(
              431 env=self._model_monitor.env,
              432 dataset_format=quality_check_cfg.dataset_format,
              (...)
              442 probability_threshold_attribute=probability_threshold_attr,
              443 )
              445 return Processor(
              446 role=self._model_monitor.role,
              447 image_uri=self._model_monitor.image_uri,
              (...)
              459 network_config=self._model_monitor.network_config,
              460 )
              File /opt/conda/lib/python3.10/site-packages/sagemaker/workflow/entities.py:86, in PipelineVariable.__str__(self)
              84 def __str__(self):
              85 """Override built-in String function for PipelineVariable"""
              ---> 86 raise TypeError(
              87 "Pipeline variables do not support __str__ operation. "
              88 "Please use `.to_string()` to convert it to string type in execution time"
              89 "or use `.expr` to translate it to Json for display purpose in Python SDK."
              90 )
              TypeError: Pipeline variables do not support __str__ operation. Please use `.to_string()` to convert it to string type in execution timeor use `.expr` to translate it to Json for display purpose in Python SDK.
              

              Expected behavior
              To set probability_threshold_attr with a pipelineVariable.

              System information
              SageMaker Python SDK version: 2.194.0
              Python version: 3.10.6

              Metadata

              Metadata

              Assignees

              No one assigned

                Labels

                Type

                No type

                Projects

                No projects

                  Milestone

                  No milestone

                  Relationships

                  None yet

                  Development

                  No branches or pull requests

                  Issue actions

                  , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
                  Skip to content

                  probability_threshold_attribute in ModelQualityCheckConfig cannot be a PipelineVariable #4227

                  Description

                  @leviBernadine

                  Describe the bug

                  probability_threshold_attribute (str or PipelineVariable): Threshold to

                  As an user of sagemaker pipeline, I want to use the QualityCheckStep for monitoring my model concept drift.
                  When I want to configure the ModelQualityCheckConfig I cannot set the probability_threshold_attribute attribute with a PipelineVariable (tested on either sagemaker.workflow.properties.Properties and sagemaker.workflow.parameters.Parameter)

                  To reproduce

                  from sagemaker.workflow.parameters import ParameterString
                  from sagemaker.workflow.quality_check_step import ModelQualityCheckConfig, QualityCheckStep
                  parameter_label_used_threshold = ParameterString(
                  name="used_threshold",
                  default_value="0.5",
                  ) model_quality_check_config = ModelQualityCheckConfig(
                  problem_type = "BinaryClassification",
                  probability_attribute= ...,
                  probability_threshold_attribute=parameter_label_used_threshold,
                  ground_truth_attribute= ..., baseline_dataset=...,
                  dataset_format= ...,
                  output_s3_uri=...
                  )
                  baseline_monitor_model_step_process = QualityCheckStep(
                  name=...,
                  skip_check=...,
                  register_new_baseline=...,
                  quality_check_config=model_quality_check_config,
                  check_job_config=...,
                  model_package_group_name=...,
                  cache_config=..,
                  supplied_baseline_statistics=...,
                  supplied_baseline_constraints=...,
                  )
                  

                  Will raise error

                  File /opt/conda/lib/python3.10/site-packages/sagemaker/workflow/quality_check_step.py:426, in QualityCheckStep._generate_baseline_processor(self, baseline_dataset_input, baseline_output, post_processor_script_input, record_preprocessor_script_input)
                  415 probability_attribute = (
                  416 str(quality_check_cfg.probability_attribute)
                  417 if quality_check_cfg.probability_attribute is not None
                  418 else None
                  419 )
                  420 ground_truth_attribute = (
                  421 str(quality_check_cfg.ground_truth_attribute)
                  422 if quality_check_cfg.ground_truth_attribute is not None
                  423 else None
                  424 )
                  425 probability_threshold_attr = (
                  --> 426 str(quality_check_cfg.probability_threshold_attribute)
                  427 if quality_check_cfg.probability_threshold_attribute is not None
                  428 else None
                  429 )
                  430 normalized_env = ModelMonitor._generate_env_map(
                  431 env=self._model_monitor.env,
                  432 dataset_format=quality_check_cfg.dataset_format,
                  (...)
                  442 probability_threshold_attribute=probability_threshold_attr,
                  443 )
                  445 return Processor(
                  446 role=self._model_monitor.role,
                  447 image_uri=self._model_monitor.image_uri,
                  (...)
                  459 network_config=self._model_monitor.network_config,
                  460 )
                  File /opt/conda/lib/python3.10/site-packages/sagemaker/workflow/entities.py:86, in PipelineVariable.__str__(self)
                  84 def __str__(self):
                  85 """Override built-in String function for PipelineVariable"""
                  ---> 86 raise TypeError(
                  87 "Pipeline variables do not support __str__ operation. "
                  88 "Please use `.to_string()` to convert it to string type in execution time"
                  89 "or use `.expr` to translate it to Json for display purpose in Python SDK."
                  90 )
                  TypeError: Pipeline variables do not support __str__ operation. Please use `.to_string()` to convert it to string type in execution timeor use `.expr` to translate it to Json for display purpose in Python SDK.
                  

                  Expected behavior
                  To set probability_threshold_attr with a pipelineVariable.

                  System information
                  SageMaker Python SDK version: 2.194.0
                  Python version: 3.10.6

                  Metadata

                  Metadata

                  Assignees

                  No one assigned

                    Labels

                    Type

                    No type

                    Projects

                    No projects

                      Milestone

                      No milestone

                      Relationships

                      None yet

                      Development

                      No branches or pull requests

                      Issue actions

                      , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
                      Skip to content

                      probability_threshold_attribute in ModelQualityCheckConfig cannot be a PipelineVariable #4227

                      Description

                      @leviBernadine

                      Describe the bug

                      probability_threshold_attribute (str or PipelineVariable): Threshold to

                      As an user of sagemaker pipeline, I want to use the QualityCheckStep for monitoring my model concept drift.
                      When I want to configure the ModelQualityCheckConfig I cannot set the probability_threshold_attribute attribute with a PipelineVariable (tested on either sagemaker.workflow.properties.Properties and sagemaker.workflow.parameters.Parameter)

                      To reproduce

                      from sagemaker.workflow.parameters import ParameterString
                      from sagemaker.workflow.quality_check_step import ModelQualityCheckConfig, QualityCheckStep
                      parameter_label_used_threshold = ParameterString(
                      name="used_threshold",
                      default_value="0.5",
                      ) model_quality_check_config = ModelQualityCheckConfig(
                      problem_type = "BinaryClassification",
                      probability_attribute= ...,
                      probability_threshold_attribute=parameter_label_used_threshold,
                      ground_truth_attribute= ..., baseline_dataset=...,
                      dataset_format= ...,
                      output_s3_uri=...
                      )
                      baseline_monitor_model_step_process = QualityCheckStep(
                      name=...,
                      skip_check=...,
                      register_new_baseline=...,
                      quality_check_config=model_quality_check_config,
                      check_job_config=...,
                      model_package_group_name=...,
                      cache_config=..,
                      supplied_baseline_statistics=...,
                      supplied_baseline_constraints=...,
                      )
                      

                      Will raise error

                      File /opt/conda/lib/python3.10/site-packages/sagemaker/workflow/quality_check_step.py:426, in QualityCheckStep._generate_baseline_processor(self, baseline_dataset_input, baseline_output, post_processor_script_input, record_preprocessor_script_input)
                      415 probability_attribute = (
                      416 str(quality_check_cfg.probability_attribute)
                      417 if quality_check_cfg.probability_attribute is not None
                      418 else None
                      419 )
                      420 ground_truth_attribute = (
                      421 str(quality_check_cfg.ground_truth_attribute)
                      422 if quality_check_cfg.ground_truth_attribute is not None
                      423 else None
                      424 )
                      425 probability_threshold_attr = (
                      --> 426 str(quality_check_cfg.probability_threshold_attribute)
                      427 if quality_check_cfg.probability_threshold_attribute is not None
                      428 else None
                      429 )
                      430 normalized_env = ModelMonitor._generate_env_map(
                      431 env=self._model_monitor.env,
                      432 dataset_format=quality_check_cfg.dataset_format,
                      (...)
                      442 probability_threshold_attribute=probability_threshold_attr,
                      443 )
                      445 return Processor(
                      446 role=self._model_monitor.role,
                      447 image_uri=self._model_monitor.image_uri,
                      (...)
                      459 network_config=self._model_monitor.network_config,
                      460 )
                      File /opt/conda/lib/python3.10/site-packages/sagemaker/workflow/entities.py:86, in PipelineVariable.__str__(self)
                      84 def __str__(self):
                      85 """Override built-in String function for PipelineVariable"""
                      ---> 86 raise TypeError(
                      87 "Pipeline variables do not support __str__ operation. "
                      88 "Please use `.to_string()` to convert it to string type in execution time"
                      89 "or use `.expr` to translate it to Json for display purpose in Python SDK."
                      90 )
                      TypeError: Pipeline variables do not support __str__ operation. Please use `.to_string()` to convert it to string type in execution timeor use `.expr` to translate it to Json for display purpose in Python SDK.
                      

                      Expected behavior
                      To set probability_threshold_attr with a pipelineVariable.

                      System information
                      SageMaker Python SDK version: 2.194.0
                      Python version: 3.10.6

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                          , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
                          Skip to content

                          probability_threshold_attribute in ModelQualityCheckConfig cannot be a PipelineVariable #4227

                          Description

                          @leviBernadine

                          Describe the bug

                          probability_threshold_attribute (str or PipelineVariable): Threshold to

                          As an user of sagemaker pipeline, I want to use the QualityCheckStep for monitoring my model concept drift.
                          When I want to configure the ModelQualityCheckConfig I cannot set the probability_threshold_attribute attribute with a PipelineVariable (tested on either sagemaker.workflow.properties.Properties and sagemaker.workflow.parameters.Parameter)

                          To reproduce

                          from sagemaker.workflow.parameters import ParameterString
                          from sagemaker.workflow.quality_check_step import ModelQualityCheckConfig, QualityCheckStep
                          parameter_label_used_threshold = ParameterString(
                          name="used_threshold",
                          default_value="0.5",
                          ) model_quality_check_config = ModelQualityCheckConfig(
                          problem_type = "BinaryClassification",
                          probability_attribute= ...,
                          probability_threshold_attribute=parameter_label_used_threshold,
                          ground_truth_attribute= ..., baseline_dataset=...,
                          dataset_format= ...,
                          output_s3_uri=...
                          )
                          baseline_monitor_model_step_process = QualityCheckStep(
                          name=...,
                          skip_check=...,
                          register_new_baseline=...,
                          quality_check_config=model_quality_check_config,
                          check_job_config=...,
                          model_package_group_name=...,
                          cache_config=..,
                          supplied_baseline_statistics=...,
                          supplied_baseline_constraints=...,
                          )
                          

                          Will raise error

                          File /opt/conda/lib/python3.10/site-packages/sagemaker/workflow/quality_check_step.py:426, in QualityCheckStep._generate_baseline_processor(self, baseline_dataset_input, baseline_output, post_processor_script_input, record_preprocessor_script_input)
                          415 probability_attribute = (
                          416 str(quality_check_cfg.probability_attribute)
                          417 if quality_check_cfg.probability_attribute is not None
                          418 else None
                          419 )
                          420 ground_truth_attribute = (
                          421 str(quality_check_cfg.ground_truth_attribute)
                          422 if quality_check_cfg.ground_truth_attribute is not None
                          423 else None
                          424 )
                          425 probability_threshold_attr = (
                          --> 426 str(quality_check_cfg.probability_threshold_attribute)
                          427 if quality_check_cfg.probability_threshold_attribute is not None
                          428 else None
                          429 )
                          430 normalized_env = ModelMonitor._generate_env_map(
                          431 env=self._model_monitor.env,
                          432 dataset_format=quality_check_cfg.dataset_format,
                          (...)
                          442 probability_threshold_attribute=probability_threshold_attr,
                          443 )
                          445 return Processor(
                          446 role=self._model_monitor.role,
                          447 image_uri=self._model_monitor.image_uri,
                          (...)
                          459 network_config=self._model_monitor.network_config,
                          460 )
                          File /opt/conda/lib/python3.10/site-packages/sagemaker/workflow/entities.py:86, in PipelineVariable.__str__(self)
                          84 def __str__(self):
                          85 """Override built-in String function for PipelineVariable"""
                          ---> 86 raise TypeError(
                          87 "Pipeline variables do not support __str__ operation. "
                          88 "Please use `.to_string()` to convert it to string type in execution time"
                          89 "or use `.expr` to translate it to Json for display purpose in Python SDK."
                          90 )
                          TypeError: Pipeline variables do not support __str__ operation. Please use `.to_string()` to convert it to string type in execution timeor use `.expr` to translate it to Json for display purpose in Python SDK.
                          

                          Expected behavior
                          To set probability_threshold_attr with a pipelineVariable.

                          System information
                          SageMaker Python SDK version: 2.194.0
                          Python version: 3.10.6

                          Metadata

                          Metadata

                          Assignees

                          No one assigned

                            Labels

                            Type

                            No type

                            Projects

                            No projects

                              Milestone

                              No milestone

                              Relationships

                              None yet

                              Development

                              No branches or pull requests

                              Issue actions

                              , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
                              Skip to content

                              probability_threshold_attribute in ModelQualityCheckConfig cannot be a PipelineVariable #4227

                              Description

                              @leviBernadine

                              Describe the bug

                              probability_threshold_attribute (str or PipelineVariable): Threshold to

                              As an user of sagemaker pipeline, I want to use the QualityCheckStep for monitoring my model concept drift.
                              When I want to configure the ModelQualityCheckConfig I cannot set the probability_threshold_attribute attribute with a PipelineVariable (tested on either sagemaker.workflow.properties.Properties and sagemaker.workflow.parameters.Parameter)

                              To reproduce

                              from sagemaker.workflow.parameters import ParameterString
                              from sagemaker.workflow.quality_check_step import ModelQualityCheckConfig, QualityCheckStep
                              parameter_label_used_threshold = ParameterString(
                              name="used_threshold",
                              default_value="0.5",
                              ) model_quality_check_config = ModelQualityCheckConfig(
                              problem_type = "BinaryClassification",
                              probability_attribute= ...,
                              probability_threshold_attribute=parameter_label_used_threshold,
                              ground_truth_attribute= ..., baseline_dataset=...,
                              dataset_format= ...,
                              output_s3_uri=...
                              )
                              baseline_monitor_model_step_process = QualityCheckStep(
                              name=...,
                              skip_check=...,
                              register_new_baseline=...,
                              quality_check_config=model_quality_check_config,
                              check_job_config=...,
                              model_package_group_name=...,
                              cache_config=..,
                              supplied_baseline_statistics=...,
                              supplied_baseline_constraints=...,
                              )
                              

                              Will raise error

                              File /opt/conda/lib/python3.10/site-packages/sagemaker/workflow/quality_check_step.py:426, in QualityCheckStep._generate_baseline_processor(self, baseline_dataset_input, baseline_output, post_processor_script_input, record_preprocessor_script_input)
                              415 probability_attribute = (
                              416 str(quality_check_cfg.probability_attribute)
                              417 if quality_check_cfg.probability_attribute is not None
                              418 else None
                              419 )
                              420 ground_truth_attribute = (
                              421 str(quality_check_cfg.ground_truth_attribute)
                              422 if quality_check_cfg.ground_truth_attribute is not None
                              423 else None
                              424 )
                              425 probability_threshold_attr = (
                              --> 426 str(quality_check_cfg.probability_threshold_attribute)
                              427 if quality_check_cfg.probability_threshold_attribute is not None
                              428 else None
                              429 )
                              430 normalized_env = ModelMonitor._generate_env_map(
                              431 env=self._model_monitor.env,
                              432 dataset_format=quality_check_cfg.dataset_format,
                              (...)
                              442 probability_threshold_attribute=probability_threshold_attr,
                              443 )
                              445 return Processor(
                              446 role=self._model_monitor.role,
                              447 image_uri=self._model_monitor.image_uri,
                              (...)
                              459 network_config=self._model_monitor.network_config,
                              460 )
                              File /opt/conda/lib/python3.10/site-packages/sagemaker/workflow/entities.py:86, in PipelineVariable.__str__(self)
                              84 def __str__(self):
                              85 """Override built-in String function for PipelineVariable"""
                              ---> 86 raise TypeError(
                              87 "Pipeline variables do not support __str__ operation. "
                              88 "Please use `.to_string()` to convert it to string type in execution time"
                              89 "or use `.expr` to translate it to Json for display purpose in Python SDK."
                              90 )
                              TypeError: Pipeline variables do not support __str__ operation. Please use `.to_string()` to convert it to string type in execution timeor use `.expr` to translate it to Json for display purpose in Python SDK.
                              

                              Expected behavior
                              To set probability_threshold_attr with a pipelineVariable.

                              System information
                              SageMaker Python SDK version: 2.194.0
                              Python version: 3.10.6

                              Metadata

                              Metadata

                              Assignees

                              No one assigned

                                Labels

                                Type

                                No type

                                Projects

                                No projects

                                  Milestone

                                  No milestone

                                  Relationships

                                  None yet

                                  Development

                                  No branches or pull requests

                                  Issue actions