diff --git a/src/data/AboutPage.md b/src/data/AboutPage.md
index 0207c85..f39f30b 100644
--- a/src/data/AboutPage.md
+++ b/src/data/AboutPage.md
@@ -44,6 +44,6 @@ Significant contributors in the Project's genesis were:
## Governance and Code of Conduct
-See [Governance in MLJ](google.com) and [Community code of conduct](https://github.com/JuliaAI/MLJ.jl/blob/dev/CODE_OF_CONDUCT.md).
+See [Governance in MLJ](https://github.com/JuliaAI/MLJ.jl/blob/dev/GOVERNANCE.md) and [Community code of conduct](https://github.com/JuliaAI/MLJ.jl/blob/dev/CODE_OF_CONDUCT.md).
diff --git a/src/data/Footer.yaml b/src/data/Footer.yaml
index 5ccb4e2..e8b2820 100644
--- a/src/data/Footer.yaml
+++ b/src/data/Footer.yaml
@@ -6,9 +6,7 @@ footerCopyrightText: Copyright © 2024 All Rights Reserved.
# Control the MLJ slogan. When multiple slogans are written, one is chosen randomly:
footerTexts:
- - Are you making the right use of your data? Let's find out.
- - From pipelines to networks all in one package
- - A package for elegant and generic machine learning
+ - A package for general machine learning
# Control the footer links shown in the bottom right of the footer
# target: self means to open in the same tab and blank means to open in a new tab
diff --git a/src/data/HomePage.yaml b/src/data/HomePage.yaml
index 68b2d7a..9663e21 100644
--- a/src/data/HomePage.yaml
+++ b/src/data/HomePage.yaml
@@ -1,5 +1,5 @@
packageName: Machine Learning in Julia
-packageDescription: A Julia package for general, composable and elegant machine learning at scale.
+packageDescription: A Julia package for general, composable machine learning at scale.
extraButton:
name: Star
@@ -11,52 +11,102 @@ sections:
- name: MLJ Features
subtitle: ''
- name: MLJ Partners
- subtitle: There is a glimmer of light in the sky
+ subtitle: ''
tours:
- - name: Install the MLJ Pacakge
+ - name: Install the MLJ Package
code: |
- # Create a new environment (optional)
- using Pkg;
+ using Pkg
+
+ # Create a new environment (optional):
Pkg.activate("mlj-env", shared=true)
# Install MLJ
Pkg.add("MLJ")
- # Test Installation (optional)
+ # Install DataFrames (needed for demo):
+ Pkg.add("DataFrames")
+
+ # Test installation (optional):
Pkg.test("MLJ")
+ # Use these packages:
+ using MLJ
+ import DataFrames # names must be qualified
+
+ - name: Load Some Data
+ code: |
+ # Grab iris dataset from the openml.org repository:
+ data = OpenML.load(61)
+
+ # Convert to a data frame:
+ df = DataFrames.DataFrame(data)
+
+ # Inspect column names and types:
+ schema(df)
+
+ # Split data into target (vector, y) and
+ # features (dataframe, X) & randomize obervations
+ y, X = unpack(df, ==(:class); rng=123)
+
- name: Train Your First Model
code: |
- # 1. Load the Model
- Tree = @iload DecisionTreeClassifier
+ # Load the model type:
+ KNN = @iload KNNClassifier
- # 2. Create an instance of the model
- tree = Tree()
+ # Create an instance with default hyperparameters:
+ knn = KNN()
- # 3. Wrap the model and data in a machine
- mach = machine(tree, X, y)
+ # Wrap the model and data in a machine:
+ mach = machine(knn, X, y)
- # 4. Fit the machine
+ # Fit the machine:
fit!(mach)
- # 5. Make predictions
+ # Get training predictions:
yhat = predict(mach, X)
- name: Evaluate Your Model
code: |
- # Cross-validation code would go here
+ # Evaluate with cross validation:
+ evaluate!(
+ mach,
+ resampling=CV(nfolds=5),
+ measures=[log_loss, accuracy],
+ )
+
+ # Evaluate with Monte Carlo,
+ # target-stratified cross validation:
+ evaluate!(
+ mach,
+ resampling=StratifiedCV(nfolds=5, rng=456),
+ repeats=2,
+ measures=[log_loss, accuracy],
+ )
- name: Hyperparameter Tuning
code: |
- # Hyperparameter tuning code would go here
+ # Define a hyperparameter range:
+ r = range(knn, :K, lower=3, upper=10)
+ # Create self-tuning version of model:
+ tuned_knn = TunedModel(
+ knn, range=r, tuning=Grid(goal=8), measure=log_loss)
+
+ # Train the wrapped model:
+ mach = machine(tuned_knn, X, y) |> fit!
+
+ # Predict using optimal model:
+ predict(mach, X)
+
+ # Inspect the best model:
+ knn_best = fitted_params(mach).best_model
features:
- title: Choosing Models
content: >-
A Model Registry stores detailed metadata for [over 200 models](/machines) and
- documentation can be searched without loading model code.
+ documentation can be searched without loading model code.
code: |
# identify models suitable for your data
julia> X, y = @load_iris
@@ -74,7 +124,7 @@ features:
# retrieve docs without code import:
julia> doc("PCA", pkg="MultivariateStats")
- - title: Meta-algorithms
+ - title: Meta-algorithms
content: >-
For improved composability, and better data hygiene, an extensive number of
**meta-algorithms** are implemented as **model wrappers**:
@@ -171,7 +221,7 @@ features:
implemented using learning networks, which demonstrates their flexibility.
code: |
# wrap data in "source nodes":
- X, y = source.(X, y)
+ X, y = source.(X, y)
# a normal MLJ workflow, with `fit` calls omitted:
mach1 = machine(model1, X, y)
@@ -182,9 +232,9 @@ features:
# train all models with one call:
fit!(y, acceleration=CPUThreads())
-
+
# blended prediction for new data:
- y(Xnew)
+ y(Xnew)
- title: Iteration control
content: >-
diff --git a/src/lib/HomePage/Features.svelte b/src/lib/HomePage/Features.svelte
index 4952146..3804b51 100644
--- a/src/lib/HomePage/Features.svelte
+++ b/src/lib/HomePage/Features.svelte
@@ -7,6 +7,7 @@
import FaPlay from 'svelte-icons/fa/FaPlay.svelte';
import IoIosAt from 'svelte-icons/io/IoIosAt.svelte';
import SvelteMarkdown from 'svelte-markdown';
+ import IoIosCopy from 'svelte-icons/io/IoIosCopy.svelte';
// Reactive state to track the selected tab index
let selectedTabIndex = 0;
@@ -63,6 +64,9 @@
{tab.title}
{#if tab.code && !isLoading}
+ navigator.clipboard.writeText(tab.code)} class="copy-icon">
+
{@html codeHTMLs[index]}
{/if}
@@ -173,6 +177,7 @@
display: flex;
flex-direction: row;
justify-content: center;
+ position: relative;
// change to column when screen is small
@media only screen and (max-width: 900px) {
flex-direction: column;
@@ -199,4 +204,20 @@
opacity: 0.95;
}
}
+
+ .copy-icon {
+ position: absolute;
+ top: 0.5rem;
+ right: 0.5rem;
+ color: rgb(122, 61, 126);
+ cursor: pointer;
+ font-size: 0.7rem;
+ transition: color 0.3s;
+ width: 1.3rem;
+ z-index: 99;
+ }
+
+ .copy-icon:hover {
+ color: rgb(122, 61, 126, 0.5);
+ }
diff --git a/src/lib/HomePage/Hero.svelte b/src/lib/HomePage/Hero.svelte
index 853a98a..d3c06f2 100644
--- a/src/lib/HomePage/Hero.svelte
+++ b/src/lib/HomePage/Hero.svelte
@@ -8,6 +8,7 @@
import CardSlider from './CardSlider.svelte';
import Features from './Features.svelte';
import FaStar from 'svelte-icons/fa/FaStar.svelte';
+ import IoIosCopy from 'svelte-icons/io/IoIosCopy.svelte';
// Components
import MarkdownIt from 'markdown-it';
@@ -111,7 +112,12 @@
{#each homeData['tours'] as tour, ind}
{#if ind == 0}
- {@html codeHTMLs[hoveredIndex]}
+
+
+
+ {@html codeHTMLs[hoveredIndex]}
+
{/if}
{/each}
{homeData['sections'][2]['name']}
- {homeData['sections'][0]['subtitle']}
+ {homeData['sections'][2]['subtitle']}