Skip to content
BranchesTags

Repository files navigation

SageMaker

SageMaker Core

Latest VersionSupported Python Versions

Introduction

Welcome to the sagemaker-core Python SDK, an SDK designed to provide an object-oriented interface for interacting with Amazon SageMaker resources. It offers full parity with SageMaker APIs, allowing developers to leverage all SageMaker capabilities directly through the SDK. sagemaker-core introduces features such as dedicated resource classes, resource chaining, auto code completion, comprehensive documentation and type hints to enhance the developer experience as well as productivity.

Key Features

  • Object-Oriented Interface: Provides a structured way to interact with SageMaker resources, making it easier to manage them using familiar object-oriented programming techniques.
  • Resource Chaining: Allows seamless connection of SageMaker resources by passing outputs as inputs between them, simplifying workflows and reducing the complexity of parameter management.
  • Full Parity with SageMaker APIs: Ensures access to all SageMaker capabilities through the SDK, providing a comprehensive toolset for building and deploying machine learning models.
  • Abstraction of Low-Level Details: Automatically handles resource state transitions and polling logic, freeing developers from managing these intricacies and allowing them to focus on higher-level tasks.
  • Auto Code Completion: Enhances the developer experience by offering real-time suggestions and completions in popular IDEs, reducing syntax errors and speeding up the coding process.
  • Comprehensive Documentation and Type Hints: Provides detailed guidance and type hints to help developers understand functionalities, write code faster, and reduce errors without complex API navigation.
  • Incorporation of Default Configs: Integrates the previous SageMaker SDK feature of default configs, allowing developers to set default values for parameters like IAM roles and VPC configurations. This streamlines the setup process, enabling developers to focus on customizations specific to their use case.

Benefits

  • Simplified Development: By abstracting low-level details and providing default configs, developers can focus on building and deploying machine learning models without getting bogged down by repetitive tasks.
  • Increased Productivity: The SDK's features, such as auto code completion and type hints, help developers write code faster and with fewer errors.
  • Enhanced Readability: Resource chaining and dedicated resource classes result in more readable and maintainable code.

Docs and Examples

Learn more about the sagemaker-core SDK and its features by visting the What's New Announcement.

For examples and walkthroughs, see the SageMaker Core Examples.

For detailed documentation, including the API reference, see Read the Docs.

About

No description, website, or topics provided.

Resources

Readme
Apache-2.0 license

Code of conduct

Code of conduct

Contributing

Contributing

Security policy

Security policy
Activity
Custom properties

Stars

24 stars

Watchers

4 watching

Forks

26 forks
Report repository

Releases

Packages

Used by

Contributors

Languages

Generated from amazon-archives/__template_Apache-2.0
, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
 blocks
(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
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;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - aws/sagemaker-core · GitHub
Skip to content
BranchesTags
Repository files navigation
SageMaker
SageMaker Core
Latest VersionSupported Python Versions
Introduction
Welcome to the sagemaker-core Python SDK, an SDK designed to provide an object-oriented interface for interacting with Amazon SageMaker resources. It offers full parity with SageMaker APIs, allowing developers to leverage all SageMaker capabilities directly through the SDK. sagemaker-core introduces features such as dedicated resource classes, resource chaining, auto code completion, comprehensive documentation and type hints to enhance the developer experience as well as productivity.
Key Features
  • Object-Oriented Interface: Provides a structured way to interact with SageMaker resources, making it easier to manage them using familiar object-oriented programming techniques.
  • Resource Chaining: Allows seamless connection of SageMaker resources by passing outputs as inputs between them, simplifying workflows and reducing the complexity of parameter management.
  • Full Parity with SageMaker APIs: Ensures access to all SageMaker capabilities through the SDK, providing a comprehensive toolset for building and deploying machine learning models.
  • Abstraction of Low-Level Details: Automatically handles resource state transitions and polling logic, freeing developers from managing these intricacies and allowing them to focus on higher-level tasks.
  • Auto Code Completion: Enhances the developer experience by offering real-time suggestions and completions in popular IDEs, reducing syntax errors and speeding up the coding process.
  • Comprehensive Documentation and Type Hints: Provides detailed guidance and type hints to help developers understand functionalities, write code faster, and reduce errors without complex API navigation.
  • Incorporation of Default Configs: Integrates the previous SageMaker SDK feature of default configs, allowing developers to set default values for parameters like IAM roles and VPC configurations. This streamlines the setup process, enabling developers to focus on customizations specific to their use case.
Benefits
  • Simplified Development: By abstracting low-level details and providing default configs, developers can focus on building and deploying machine learning models without getting bogged down by repetitive tasks.
  • Increased Productivity: The SDK's features, such as auto code completion and type hints, help developers write code faster and with fewer errors.
  • Enhanced Readability: Resource chaining and dedicated resource classes result in more readable and maintainable code.
Docs and Examples
Learn more about the sagemaker-core SDK and its features by visting the What's New Announcement.
For examples and walkthroughs, see the SageMaker Core Examples.
For detailed documentation, including the API reference, see Read the Docs.
About
No description, website, or topics provided.
Resources
Readme
Apache-2.0 license
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
Custom properties
Stars
24 stars
Watchers
4 watching
Forks
26 forks
Report repository
Releases
Packages
Used by
Contributors
Languages
Generated from amazon-archives/__template_Apache-2.0

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
.markdown-body pre { background: #161b22 !important; }
.markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }
.markdown-body table th, .markdown-body table td { border-color: #30363d !important; }
.markdown-body img { background: #0d1117; }
.markdown-body blockquote { border-left-color: #8b949e; }
.markdown-body hr { border-color: #30363d; }
';
document.head.appendChild(style);
})();
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - aws/sagemaker-core · GitHub
Skip to content
BranchesTags
Repository files navigation
SageMaker
SageMaker Core
Latest VersionSupported Python Versions
Introduction
Welcome to the sagemaker-core Python SDK, an SDK designed to provide an object-oriented interface for interacting with Amazon SageMaker resources. It offers full parity with SageMaker APIs, allowing developers to leverage all SageMaker capabilities directly through the SDK. sagemaker-core introduces features such as dedicated resource classes, resource chaining, auto code completion, comprehensive documentation and type hints to enhance the developer experience as well as productivity.
Key Features
  • Object-Oriented Interface: Provides a structured way to interact with SageMaker resources, making it easier to manage them using familiar object-oriented programming techniques.
  • Resource Chaining: Allows seamless connection of SageMaker resources by passing outputs as inputs between them, simplifying workflows and reducing the complexity of parameter management.
  • Full Parity with SageMaker APIs: Ensures access to all SageMaker capabilities through the SDK, providing a comprehensive toolset for building and deploying machine learning models.
  • Abstraction of Low-Level Details: Automatically handles resource state transitions and polling logic, freeing developers from managing these intricacies and allowing them to focus on higher-level tasks.
  • Auto Code Completion: Enhances the developer experience by offering real-time suggestions and completions in popular IDEs, reducing syntax errors and speeding up the coding process.
  • Comprehensive Documentation and Type Hints: Provides detailed guidance and type hints to help developers understand functionalities, write code faster, and reduce errors without complex API navigation.
  • Incorporation of Default Configs: Integrates the previous SageMaker SDK feature of default configs, allowing developers to set default values for parameters like IAM roles and VPC configurations. This streamlines the setup process, enabling developers to focus on customizations specific to their use case.
Benefits
  • Simplified Development: By abstracting low-level details and providing default configs, developers can focus on building and deploying machine learning models without getting bogged down by repetitive tasks.
  • Increased Productivity: The SDK's features, such as auto code completion and type hints, help developers write code faster and with fewer errors.
  • Enhanced Readability: Resource chaining and dedicated resource classes result in more readable and maintainable code.
Docs and Examples
Learn more about the sagemaker-core SDK and its features by visting the What's New Announcement.
For examples and walkthroughs, see the SageMaker Core Examples.
For detailed documentation, including the API reference, see Read the Docs.
About
No description, website, or topics provided.
Resources
Readme
Apache-2.0 license
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
Custom properties
Stars
24 stars
Watchers
4 watching
Forks
26 forks
Report repository
Releases
Packages
Used by
Contributors
Languages
Generated from amazon-archives/__template_Apache-2.0

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
var q = url.searchParams.get('q') || url.searchParams.get('p');
if (q) {
terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
}
}
if (terms.length === 0) return;
var style = document.createElement('style');
style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
document.head.appendChild(style);
function highlight(node) {
if (node.nodeType === 3) { // text node
var text = node.textContent;
var found = false;
terms.forEach(function(term) {
var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi');
if (regex.test(text)) {
found = true;
var frag = document.createDocumentFragment();
var parts = text.split(regex);
parts.forEach(function(part, i) {
if (i % 2 === 0) {
frag.appendChild(document.createTextNode(part));
} else {
var span = document.createElement('span');
span.className = 'userscript-highlight';
span.textContent = part;
frag.appendChild(span);
}
});
node.parentNode.replaceChild(frag, node);
}
});
} else if (node.nodeType === 1 && node.childNodes) { // element
var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];
if (!skipTags.includes(node.tagName)) {
Array.from(node.childNodes).forEach(highlight);
}
}
}
highlight(document.body);
// Re-highlight on dynamic content
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1 || node.nodeType === 3) highlight(node);
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - aws/sagemaker-core · GitHub
Skip to content
BranchesTags
Repository files navigation
SageMaker
SageMaker Core
Latest VersionSupported Python Versions
Introduction
Welcome to the sagemaker-core Python SDK, an SDK designed to provide an object-oriented interface for interacting with Amazon SageMaker resources. It offers full parity with SageMaker APIs, allowing developers to leverage all SageMaker capabilities directly through the SDK. sagemaker-core introduces features such as dedicated resource classes, resource chaining, auto code completion, comprehensive documentation and type hints to enhance the developer experience as well as productivity.
Key Features
  • Object-Oriented Interface: Provides a structured way to interact with SageMaker resources, making it easier to manage them using familiar object-oriented programming techniques.
  • Resource Chaining: Allows seamless connection of SageMaker resources by passing outputs as inputs between them, simplifying workflows and reducing the complexity of parameter management.
  • Full Parity with SageMaker APIs: Ensures access to all SageMaker capabilities through the SDK, providing a comprehensive toolset for building and deploying machine learning models.
  • Abstraction of Low-Level Details: Automatically handles resource state transitions and polling logic, freeing developers from managing these intricacies and allowing them to focus on higher-level tasks.
  • Auto Code Completion: Enhances the developer experience by offering real-time suggestions and completions in popular IDEs, reducing syntax errors and speeding up the coding process.
  • Comprehensive Documentation and Type Hints: Provides detailed guidance and type hints to help developers understand functionalities, write code faster, and reduce errors without complex API navigation.
  • Incorporation of Default Configs: Integrates the previous SageMaker SDK feature of default configs, allowing developers to set default values for parameters like IAM roles and VPC configurations. This streamlines the setup process, enabling developers to focus on customizations specific to their use case.
Benefits
  • Simplified Development: By abstracting low-level details and providing default configs, developers can focus on building and deploying machine learning models without getting bogged down by repetitive tasks.
  • Increased Productivity: The SDK's features, such as auto code completion and type hints, help developers write code faster and with fewer errors.
  • Enhanced Readability: Resource chaining and dedicated resource classes result in more readable and maintainable code.
Docs and Examples
Learn more about the sagemaker-core SDK and its features by visting the What's New Announcement.
For examples and walkthroughs, see the SageMaker Core Examples.
For detailed documentation, including the API reference, see Read the Docs.
About
No description, website, or topics provided.
Resources
Readme
Apache-2.0 license
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
Custom properties
Stars
24 stars
Watchers
4 watching
Forks
26 forks
Report repository
Releases
Packages
Used by
Contributors
Languages
Generated from amazon-archives/__template_Apache-2.0

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - aws/sagemaker-core · GitHub
Skip to content
BranchesTags
Repository files navigation
SageMaker
SageMaker Core
Latest VersionSupported Python Versions
Introduction
Welcome to the sagemaker-core Python SDK, an SDK designed to provide an object-oriented interface for interacting with Amazon SageMaker resources. It offers full parity with SageMaker APIs, allowing developers to leverage all SageMaker capabilities directly through the SDK. sagemaker-core introduces features such as dedicated resource classes, resource chaining, auto code completion, comprehensive documentation and type hints to enhance the developer experience as well as productivity.
Key Features
  • Object-Oriented Interface: Provides a structured way to interact with SageMaker resources, making it easier to manage them using familiar object-oriented programming techniques.
  • Resource Chaining: Allows seamless connection of SageMaker resources by passing outputs as inputs between them, simplifying workflows and reducing the complexity of parameter management.
  • Full Parity with SageMaker APIs: Ensures access to all SageMaker capabilities through the SDK, providing a comprehensive toolset for building and deploying machine learning models.
  • Abstraction of Low-Level Details: Automatically handles resource state transitions and polling logic, freeing developers from managing these intricacies and allowing them to focus on higher-level tasks.
  • Auto Code Completion: Enhances the developer experience by offering real-time suggestions and completions in popular IDEs, reducing syntax errors and speeding up the coding process.
  • Comprehensive Documentation and Type Hints: Provides detailed guidance and type hints to help developers understand functionalities, write code faster, and reduce errors without complex API navigation.
  • Incorporation of Default Configs: Integrates the previous SageMaker SDK feature of default configs, allowing developers to set default values for parameters like IAM roles and VPC configurations. This streamlines the setup process, enabling developers to focus on customizations specific to their use case.
Benefits
  • Simplified Development: By abstracting low-level details and providing default configs, developers can focus on building and deploying machine learning models without getting bogged down by repetitive tasks.
  • Increased Productivity: The SDK's features, such as auto code completion and type hints, help developers write code faster and with fewer errors.
  • Enhanced Readability: Resource chaining and dedicated resource classes result in more readable and maintainable code.
Docs and Examples
Learn more about the sagemaker-core SDK and its features by visting the What's New Announcement.
For examples and walkthroughs, see the SageMaker Core Examples.
For detailed documentation, including the API reference, see Read the Docs.
About
No description, website, or topics provided.
Resources
Readme
Apache-2.0 license
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
Custom properties
Stars
24 stars
Watchers
4 watching
Forks
26 forks
Report repository
Releases
Packages
Used by
Contributors
Languages
Generated from amazon-archives/__template_Apache-2.0

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - aws/sagemaker-core · GitHub
Skip to content
BranchesTags
Repository files navigation
SageMaker
SageMaker Core
Latest VersionSupported Python Versions
Introduction
Welcome to the sagemaker-core Python SDK, an SDK designed to provide an object-oriented interface for interacting with Amazon SageMaker resources. It offers full parity with SageMaker APIs, allowing developers to leverage all SageMaker capabilities directly through the SDK. sagemaker-core introduces features such as dedicated resource classes, resource chaining, auto code completion, comprehensive documentation and type hints to enhance the developer experience as well as productivity.
Key Features
  • Object-Oriented Interface: Provides a structured way to interact with SageMaker resources, making it easier to manage them using familiar object-oriented programming techniques.
  • Resource Chaining: Allows seamless connection of SageMaker resources by passing outputs as inputs between them, simplifying workflows and reducing the complexity of parameter management.
  • Full Parity with SageMaker APIs: Ensures access to all SageMaker capabilities through the SDK, providing a comprehensive toolset for building and deploying machine learning models.
  • Abstraction of Low-Level Details: Automatically handles resource state transitions and polling logic, freeing developers from managing these intricacies and allowing them to focus on higher-level tasks.
  • Auto Code Completion: Enhances the developer experience by offering real-time suggestions and completions in popular IDEs, reducing syntax errors and speeding up the coding process.
  • Comprehensive Documentation and Type Hints: Provides detailed guidance and type hints to help developers understand functionalities, write code faster, and reduce errors without complex API navigation.
  • Incorporation of Default Configs: Integrates the previous SageMaker SDK feature of default configs, allowing developers to set default values for parameters like IAM roles and VPC configurations. This streamlines the setup process, enabling developers to focus on customizations specific to their use case.
Benefits
  • Simplified Development: By abstracting low-level details and providing default configs, developers can focus on building and deploying machine learning models without getting bogged down by repetitive tasks.
  • Increased Productivity: The SDK's features, such as auto code completion and type hints, help developers write code faster and with fewer errors.
  • Enhanced Readability: Resource chaining and dedicated resource classes result in more readable and maintainable code.
Docs and Examples
Learn more about the sagemaker-core SDK and its features by visting the What's New Announcement.
For examples and walkthroughs, see the SageMaker Core Examples.
For detailed documentation, including the API reference, see Read the Docs.
About
No description, website, or topics provided.
Resources
Readme
Apache-2.0 license
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
Custom properties
Stars
24 stars
Watchers
4 watching
Forks
26 forks
Report repository
Releases
Packages
Used by
Contributors
Languages
Generated from amazon-archives/__template_Apache-2.0

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
})();
GitHub - aws/sagemaker-core · GitHub
Skip to content
BranchesTags
Repository files navigation
SageMaker
SageMaker Core
Latest VersionSupported Python Versions
Introduction
Welcome to the sagemaker-core Python SDK, an SDK designed to provide an object-oriented interface for interacting with Amazon SageMaker resources. It offers full parity with SageMaker APIs, allowing developers to leverage all SageMaker capabilities directly through the SDK. sagemaker-core introduces features such as dedicated resource classes, resource chaining, auto code completion, comprehensive documentation and type hints to enhance the developer experience as well as productivity.
Key Features
  • Object-Oriented Interface: Provides a structured way to interact with SageMaker resources, making it easier to manage them using familiar object-oriented programming techniques.
  • Resource Chaining: Allows seamless connection of SageMaker resources by passing outputs as inputs between them, simplifying workflows and reducing the complexity of parameter management.
  • Full Parity with SageMaker APIs: Ensures access to all SageMaker capabilities through the SDK, providing a comprehensive toolset for building and deploying machine learning models.
  • Abstraction of Low-Level Details: Automatically handles resource state transitions and polling logic, freeing developers from managing these intricacies and allowing them to focus on higher-level tasks.
  • Auto Code Completion: Enhances the developer experience by offering real-time suggestions and completions in popular IDEs, reducing syntax errors and speeding up the coding process.
  • Comprehensive Documentation and Type Hints: Provides detailed guidance and type hints to help developers understand functionalities, write code faster, and reduce errors without complex API navigation.
  • Incorporation of Default Configs: Integrates the previous SageMaker SDK feature of default configs, allowing developers to set default values for parameters like IAM roles and VPC configurations. This streamlines the setup process, enabling developers to focus on customizations specific to their use case.
Benefits
  • Simplified Development: By abstracting low-level details and providing default configs, developers can focus on building and deploying machine learning models without getting bogged down by repetitive tasks.
  • Increased Productivity: The SDK's features, such as auto code completion and type hints, help developers write code faster and with fewer errors.
  • Enhanced Readability: Resource chaining and dedicated resource classes result in more readable and maintainable code.
Docs and Examples
Learn more about the sagemaker-core SDK and its features by visting the What's New Announcement.
For examples and walkthroughs, see the SageMaker Core Examples.
For detailed documentation, including the API reference, see Read the Docs.
About
No description, website, or topics provided.
Resources
Readme
Apache-2.0 license
Code of conduct
Code of conduct
Contributing
Contributing
Security policy
Security policy
Activity
Custom properties
Stars
24 stars
Watchers
4 watching
Forks
26 forks
Report repository
Releases
Packages
Used by
Contributors
Languages
Generated from amazon-archives/__template_Apache-2.0