Spaces:
Running
Running
Fix minor mistakes, tidy up demos.
Browse files- examples/Image processing.lynxkite.json +172 -152
- examples/Model use.lynxkite.json +421 -339
- examples/NetworkX demo.lynxkite.json +0 -0
- examples/Word2vec.lynxkite.json +0 -0
- lynxkite-graph-analytics/src/lynxkite_graph_analytics/ml_ops.py +1 -7
- lynxkite-pillow-example/src/lynxkite_pillow_example/__init__.py +1 -1
examples/Image processing.lynxkite.json
CHANGED
@@ -1,284 +1,304 @@
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{
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"env": "Pillow",
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"nodes": [
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{
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"id": "Open image 1",
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"type": "basic",
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"data": {
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"
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"filename": "https://media.licdn.com/dms/image/v2/C4E03AQEq4tdJKQiNHQ/profile-displayphoto-shrink_200_200/profile-displayphoto-shrink_200_200/0/1657270040827?e=2147483647&v=beta&t=lDxix0_0-_K7NUFqgPdzxY5-P7f73bWpPS_XRre842c"
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"outputs": {
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"type": {
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"name": "Open image",
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"filename": {
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"name": "filename",
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"title": "View image",
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2670 |
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2671 |
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2674 |
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2677 |
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2678 |
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2680 |
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2686 |
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2689 |
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2690 |
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2692 |
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2693 |
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2694 |
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2695 |
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2696 |
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2697 |
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2698 |
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|
2699 |
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2700 |
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2701 |
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2702 |
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2704 |
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1.6949294805526733
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3016 |
],
|
3017 |
[
|
3018 |
+
1.694690227508545
|
3019 |
]
|
3020 |
]
|
3021 |
}
|
3022 |
},
|
3023 |
"other": {
|
3024 |
+
"model": "ModelConfig(model=Sequential(\n (0) - Identity(): Input__tensor_1_output -> START_Repeat_1_output\n (1) - Linear(4, 4, bias=True): START_Repeat_1_output -> Linear_1_output\n (2) - <function leaky_relu at 0x7a324738f100>: Linear_1_output -> Activation_1_output\n (3) - Identity(): Activation_1_output -> START_Repeat_1_output\n (4) - Linear(4, 4, bias=True): START_Repeat_1_output -> Linear_1_output\n (5) - <function leaky_relu at 0x7a324738f100>: Linear_1_output -> Activation_1_output\n (6) - Identity(): Activation_1_output -> END_Repeat_1_output\n (7) - Identity(): END_Repeat_1_output -> Output_1_x\n (8) - Identity(): Output_1_x -> Output_1_x\n), model_inputs=['Input__tensor_1_output'], model_outputs=['Output_1_x'], loss_inputs=['Input__tensor_3_output', 'Output_1_x'], loss=Sequential(\n (0) - <function constant_vector.<locals>.<lambda> at 0x7a3012b563e0>: nothing -> Constant_vector_1_output\n (1) - <built-in method add of type object at 0x7a324399ef00>: Input__tensor_3_output, Constant_vector_1_output -> Add_1_output\n (2) - <function mse_loss at 0x7a3247398c20>: Output_1_x, Add_1_output -> MSE_loss_2_output\n (3) - Identity(): MSE_loss_2_output -> loss\n), optimizer_parameters={'lr': 0.1, 'type': <OptionsFor_type.SGD: 4>}, optimizer=SGD (\nParameter Group 0\n dampening: 0\n differentiable: False\n foreach: None\n fused: None\n lr: 0.1\n maximize: False\n momentum: 0\n nesterov: False\n weight_decay: 0\n), source_workspace='Model definition.lynxkite.json', trained=True)"
|
3025 |
},
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3026 |
"relations": []
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3027 |
},
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|
3128 |
{
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3129 |
"data": [
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3130 |
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+
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[
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+
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|
3178 |
[
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|
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"symbolSize": 39.81071705534973,
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"#FDE725"
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3303 |
"type": "<class 'str'>"
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}
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3305 |
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"metric": {
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3307 |
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"name": "metric",
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"type": {
|
3310 |
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"enum": [
|
3311 |
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"l1",
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3312 |
+
"cityblock",
|
3313 |
+
"taxicab",
|
3314 |
+
"manhattan",
|
3315 |
+
"euclidean",
|
3316 |
+
"l2",
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3317 |
+
"sqeuclidean",
|
3318 |
+
"canberra",
|
3319 |
+
"minkowski",
|
3320 |
+
"chebyshev",
|
3321 |
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"linf",
|
3322 |
+
"cosine",
|
3323 |
+
"correlation",
|
3324 |
+
"hellinger",
|
3325 |
+
"hamming"
|
3326 |
+
]
|
3327 |
+
}
|
3328 |
+
},
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+
"min_dist": {
|
3330 |
+
"default": 0.1,
|
3331 |
+
"name": "min_dist",
|
3332 |
+
"type": {
|
3333 |
+
"type": "<class 'float'>"
|
3334 |
+
}
|
3335 |
+
},
|
3336 |
+
"n_neighbors": {
|
3337 |
+
"default": 15.0,
|
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"name": "n_neighbors",
|
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+
"type": {
|
3340 |
+
"type": "<class 'int'>"
|
3341 |
+
}
|
3342 |
+
},
|
3343 |
"table_name": {
|
3344 |
"default": "nodes",
|
3345 |
"name": "table_name",
|
|
|
3355 |
}
|
3356 |
}
|
3357 |
},
|
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3358 |
"type": "visualization"
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},
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3360 |
"params": {
|
examples/NetworkX demo.lynxkite.json
CHANGED
The diff for this file is too large to render.
See raw diff
|
|
examples/Word2vec.lynxkite.json
CHANGED
The diff for this file is too large to render.
See raw diff
|
|
lynxkite-graph-analytics/src/lynxkite_graph_analytics/ml_ops.py
CHANGED
@@ -36,8 +36,7 @@ def define_model(
|
|
36 |
):
|
37 |
"""Trains the selected model on the selected dataset. Most training parameters are set in the model definition."""
|
38 |
assert model_workspace, "Model workspace is unset."
|
39 |
-
ws = load_ws(model_workspace)
|
40 |
-
# Build the model without inputs, to get its interface.
|
41 |
m = pytorch_core.build_model(ws)
|
42 |
m.source_workspace = model_workspace
|
43 |
bundle = bundle.copy()
|
@@ -136,11 +135,6 @@ def view_loss(bundle: core.Bundle):
|
|
136 |
return v
|
137 |
|
138 |
|
139 |
-
@op("Reduce dimensions")
|
140 |
-
def reduce_dimensions(bundle: core.Bundle):
|
141 |
-
return
|
142 |
-
|
143 |
-
|
144 |
VIRIDIS = [
|
145 |
"#440154",
|
146 |
"#482777",
|
|
|
36 |
):
|
37 |
"""Trains the selected model on the selected dataset. Most training parameters are set in the model definition."""
|
38 |
assert model_workspace, "Model workspace is unset."
|
39 |
+
ws = load_ws(model_workspace + ".lynxkite.json")
|
|
|
40 |
m = pytorch_core.build_model(ws)
|
41 |
m.source_workspace = model_workspace
|
42 |
bundle = bundle.copy()
|
|
|
135 |
return v
|
136 |
|
137 |
|
|
|
|
|
|
|
|
|
|
|
138 |
VIRIDIS = [
|
139 |
"#440154",
|
140 |
"#482777",
|
lynxkite-pillow-example/src/lynxkite_pillow_example/__init__.py
CHANGED
@@ -35,7 +35,7 @@ def flip_horizontally(image: Image):
|
|
35 |
return image.transpose(Image.Transpose.FLIP_LEFT_RIGHT)
|
36 |
|
37 |
|
38 |
-
@op("Flip
|
39 |
def flip_vertically(image: Image):
|
40 |
return image.transpose(Image.Transpose.FLIP_TOP_BOTTOM)
|
41 |
|
|
|
35 |
return image.transpose(Image.Transpose.FLIP_LEFT_RIGHT)
|
36 |
|
37 |
|
38 |
+
@op("Flip vertically")
|
39 |
def flip_vertically(image: Image):
|
40 |
return image.transpose(Image.Transpose.FLIP_TOP_BOTTOM)
|
41 |
|