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[WIP] Dallas update apps rdata - nodes PR:324 #437

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[WIP] Dallas update apps rdata - nodes PR:324 #437

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21 changes: 10 additions & 11 deletions docs/nodes/AI_ML/CLASSIFICATION/TORCHSCRIPT_CLASSIFIER/examples/EX1/app.json
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Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@
"desc": "path to the file to be loaded.",
"functionName": "LOCAL_FILE",
"param": "file_path",
"value": "AI_ML/CLASSIFICATION/TORCHSCRIPT_CLASSIFIER/assets/President_Barack_Obama.jpg"
"value": "PYTHON/nodes/AI_ML/CLASSIFICATION/TORCHSCRIPT_CLASSIFIER/assets/President_Barack_Obama.jpg"
},
"file_type": {
"type": "select",
Expand Down Expand Up @@ -73,8 +73,8 @@
"dragging": true
},
{
"width": 225,
"height": 226,
"width": 380,
"height": 293,
"id": "IMAGE-b931ca30-e0fa-40c0-b7fd-bf3fd9d52ac0",
"type": "VISUALIZERS",
"data": {
Expand Down Expand Up @@ -115,8 +115,8 @@
"dragging": true
},
{
"width": 225,
"height": 226,
"width": 380,
"height": 293,
"id": "TABLE-f1d5b18c-5c89-4577-b460-53c7827703d4",
"type": "VISUALIZERS",
"data": {
Expand Down Expand Up @@ -173,7 +173,7 @@
"desc": "path to the file to be loaded.",
"functionName": "LOCAL_FILE",
"param": "file_path",
"value": "AI_ML/CLASSIFICATION/TORCHSCRIPT_CLASSIFIER/assets/class_names.csv"
"value": "PYTHON/nodes/AI_ML/CLASSIFICATION/TORCHSCRIPT_CLASSIFIER/assets/class_names.csv"
},
"file_type": {
"type": "select",
Expand Down Expand Up @@ -228,7 +228,7 @@
"dragging": true
},
{
"width": 231,
"width": 208,
"height": 96,
"id": "TORCHSCRIPT_CLASSIFIER-51ef4ad1-ce39-4cf8-84ed-0474f8a25283",
"type": "AI_ML",
Expand Down Expand Up @@ -286,8 +286,8 @@
"dragging": true
},
{
"width": 225,
"height": 226,
"width": 380,
"height": 293,
"id": "TABLE-a791e475-0516-453c-af76-33fa8864ff67",
"type": "VISUALIZERS",
"data": {
Expand Down Expand Up @@ -389,6 +389,5 @@
"i": "INPUT_PLACEHOLDER"
}
}
],
"textNodes": []
]
}
21 changes: 10 additions & 11 deletions docs/nodes/AI_ML/IMAGE_CAPTIONING/NLP_CONNECT_VIT_GPT2/examples/EX1/app.json
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Original file line number Diff line number Diff line change
Expand Up @@ -2,8 +2,8 @@
"rfInstance": {
"nodes": [
{
"width": 160,
"height": 160,
"width": 150,
"height": 150,
"id": "LOCAL_FILE-37e74f08-bfb2-49d1-bec2-d962fda0f0a6",
"type": "LOADERS",
"data": {
Expand All @@ -17,7 +17,7 @@
"default": null,
"functionName": "LOCAL_FILE",
"param": "file_path",
"value": "AI_ML/IMAGE_CAPTIONING/NLP_CONNECT_VIT_GPT2/assets/President_Barack_Obama.jpg"
"value": "./PYTHON/nodes/AI_ML/IMAGE_CAPTIONING/NLP_CONNECT_VIT_GPT2/assets/President_Barack_Obama.jpg"
},
"file_type": {
"type": "select",
Expand Down Expand Up @@ -66,8 +66,8 @@
"dragging": true
},
{
"width": 208,
"height": 96,
"width": 150,
"height": 150,
"id": "NLP_CONNECT_VIT_GPT2-f4c9d884-68df-45a4-a06a-9c56750ff1c1",
"type": "AI_ML",
"data": {
Expand Down Expand Up @@ -106,8 +106,8 @@
"dragging": true
},
{
"width": 225,
"height": 226,
"width": 380,
"height": 293,
"id": "TABLE-15ab5a91-a962-4f8e-ba9c-8a159d576dbb",
"type": "VISUALIZERS",
"data": {
Expand Down Expand Up @@ -146,8 +146,8 @@
"dragging": true
},
{
"width": 225,
"height": 226,
"width": 380,
"height": 293,
"id": "IMAGE-ec76f3cf-6397-45cf-a1e0-ce43c89a9327",
"type": "VISUALIZERS",
"data": {
Expand Down Expand Up @@ -233,6 +233,5 @@
"i": "INPUT_PLACEHOLDER"
}
}
],
"textNodes": []
]
}
19 changes: 9 additions & 10 deletions docs/nodes/AI_ML/IMAGE_CLASSIFICATION/HUGGING_FACE_PIPELINE/examples/EX1/app.json
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@
"nodes": [
{
"width": 208,
"height": 96,
"height": 116,
"id": "HUGGING_FACE_PIPELINE-160a47cc-72e8-4088-a4af-43efdc9904d6",
"type": "AI_ML",
"data": {
Expand Down Expand Up @@ -78,7 +78,7 @@
"desc": "path to the file to be loaded",
"functionName": "LOCAL_FILE",
"param": "file_path",
"value": "AI_ML/IMAGE_CLASSIFICATION/HUGGING_FACE_PIPELINE/assets/ada_lovelace.png"
"value": "./PYTHON/nodes/AI_ML/IMAGE_CLASSIFICATION/HUGGING_FACE_PIPELINE/assets/ada_lovelace.png"
},
"file_type": {
"type": "select",
Expand Down Expand Up @@ -125,22 +125,22 @@
}
],
"path": "PYTHON/nodes/LOADERS/LOCAL_FILE_SYSTEM/LOCAL_FILE/LOCAL_FILE.py",
"selected": false
"selected": true
},
"position": {
"x": -405.26756052777466,
"y": -122.64869035489248
},
"selected": false,
"selected": true,
"positionAbsolute": {
"x": -405.26756052777466,
"y": -122.64869035489248
},
"dragging": true
},
{
"width": 225,
"height": 226,
"width": 380,
"height": 293,
"id": "TABLE-b1ca06f2-ecee-4858-a075-cdfb097be848",
"type": "VISUALIZERS",
"data": {
Expand Down Expand Up @@ -182,8 +182,8 @@
"dragging": true
},
{
"width": 225,
"height": 226,
"width": 380,
"height": 293,
"id": "IMAGE-b9af5a25-af44-43cd-bc00-315e08b0088f",
"type": "VISUALIZERS",
"data": {
Expand Down Expand Up @@ -253,6 +253,5 @@
"y": 575.2550328315427,
"zoom": 1.2199420644594634
}
},
"textNodes": []
}
}
95 changes: 45 additions & 50 deletions docs/nodes/AI_ML/REGRESSION/LEAST_SQUARES/a1-[autogen]/python_code.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -9,53 +9,48 @@ def LEAST_SQUARES(
) -> Matrix | OrderedPair:


if b is None:
if isinstance(a, OrderedPair):
x = a.x
y = a.y
try:
a = np.vstack([x, np.ones(len(x))]).T
p = np.linalg.lstsq(a, y, rcond=None)[0]
except np.linalg.LinAlgError:
raise ValueError("Least Square Computation failed.")

slope, intercept = p[0:-1], p[-1]
res = slope * x + intercept

return OrderedPair(x=x, y=res)
else:
raise ValueError("For matrix type b must be specified!")
else:
if isinstance(a, OrderedPair) and isinstance(b, OrderedPair):
x = a.y
y = b.y

try:
a = np.vstack([x, np.ones(len(x))]).T
p = np.linalg.lstsq(a, y, rcond=None)[0]
except np.linalg.LinAlgError:
raise ValueError("Least Square Computation failed.")

slope, intercept = p[0:-1], p[-1]
print("=============== This is slope: ", slope)
print("=============== This is intercept: ", intercept)
res = slope * x + intercept

return OrderedPair(x=x, y=res)

elif isinstance(a, Matrix) and isinstance(b, Matrix):
x = a.m
y = b.m

try:
a = np.vstack([x, np.ones(len(x))]).T
p = np.linalg.lstsq(a, y, rcond=None)[0]
except np.linalg.LinAlgError:
raise ValueError("Least Square Computation failed.")

slope, intercept = p[0:-1], p[-1]
res = slope * x + intercept

return Matrix(m=res)
else:
raise ValueError("a and b must be of same type!")
if b is None and isinstance(a, OrderedPair):
x = a.x
y = a.y
try:
a = np.vstack([x, np.ones(len(x))]).T
p = np.linalg.lstsq(a, y, rcond=None)[0]
except np.linalg.LinAlgError:
raise ValueError("Least Square Computation failed.")

slope, intercept = p[0:-1], p[-1]
res = slope * x + intercept

return OrderedPair(x=x, y=res)

if isinstance(a, OrderedPair) and isinstance(b, OrderedPair):
x = a.y
y = b.y

try:
a = np.vstack([x, np.ones(len(x))]).T
p = np.linalg.lstsq(a, y, rcond=None)[0]
except np.linalg.LinAlgError:
raise ValueError("Least Square Computation failed.")

slope, intercept = p[0:-1], p[-1]
print("=============== This is slope: ", slope)
print("=============== This is intercept: ", intercept)
res = slope * x + intercept

return OrderedPair(x=x, y=res)

elif isinstance(a, Matrix) and isinstance(b, Matrix):
x = a.m
y = b.m

try:
a = np.vstack([x, np.ones(len(x))]).T
p = np.linalg.lstsq(a, y, rcond=None)[0]
except np.linalg.LinAlgError:
raise ValueError("Least Square Computation failed.")

slope, intercept = p[0:-1], p[-1]
res = slope * x + intercept

return Matrix(m=res)
1,029 changes: 888 additions & 141 deletions docs/nodes/LOADERS/REMOTE_FILE_SYSTEM/REMOTE_FILE/examples/EX1/app.json
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