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visualiser.py
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visualiser.py
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"""
,---. ,---..-./`) .-'''-. ___ _ ____ .---.
| / | |\ .-.') / _ \.' | | | .' __ `. | ,_|
| | | .'/ `-' \ (`' )/`--'| .' | |/ ' \ \,-./ )
| | _ | | `-'`"`(_ o _). .' '_ | ||___| / |\ '_ '`)
| _( )_ | .---. (_,_). '. ' ( \.-.| _.-` | > (_) )
\ (_ o._) / | | .---. \ :' (`. _` /|.' _ |( . .-'
\ (_,_) / | | \ `-' || (_ (_) _)| _( )_ | `-'`-'|___
\ / | | \ / \ / . \ /\ (_ o _) / | \
`---` '---' `-...-' ``-'`-'' '.(_,_).' `--------`
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~> class <GRVisualiser>
_
_( )_
(_ o _) 2D-projection of Graph Representation.
(_,_)
_
_( )_
(_ o _) Explorative plot to visualise the Representation space,
(_,_) and individual instances inhabiting it.
"""
from .viz_util import *
class GRVisualiser():
# =================
# INIT & ATTRIBUTES
# =================
def __init__(
self,
graphs:list,
embeddings:list,
labels:list,
og_format:str,
# dataset, model
reducer_type:str="manifold.TSNE",
reducer_args:dict={},
make_interactive:bool=False,
dataset_name:str=None,
model_name:str=None,
seed:int = 0
):
self._graphs = graphs
self._embeddings = embeddings
self._labels = labels
self._og_format = og_format
if not reducer_type is None:
self._reducer, self._reducer_type = get_reducer_from_sklearn(reducer_type)
self._reducer = self._reducer(2, **reducer_args)
# project embeddings:
self.project_embs()
else:
self._reducer, self._reducer_type = None, None
self._projected_embeddings = self._embeddings
self._make_df()
self._dataset_name = dataset_name
self._model_name = model_name
self._make_title()
self.make_interactive = make_interactive
self.size_attr = "size"
# ===============
# METHODS & UTILS
# ===============
def set_size_attr(self,
new_size_attr:str
):
assert new_size_attr in self._df_embeddings.columns
self.size_attr = new_size_attr
return
def expand_df(self,
key,
values
):
self._df_embeddings[key] = values
return
def project_embs(self, inplace=True):
embs = self._reducer.fit_transform(self._embeddings)
if inplace:
self._projected_embeddings = embs
return
else:
return embs
def _make_df(self, inplace=True):
if not hasattr(self, "_projected_embeddings"):
self.project_embs()
embx = [e[0] for e in self._projected_embeddings]
emby = [e[1] for e in self._projected_embeddings]
embs_df = pd.DataFrame([embx, emby], ["x", "y"]).T
embs_df["size"] = 1 # TODO !
embs_df["label"] = [str(lab) for lab in self._labels]
embs_df["graphs"] = self._graphs
if inplace:
self._df_embeddings = embs_df
return
else:
return embs_df
def _make_title(self):
title = ""
if not self._dataset_name is None:
title += "{} representation ".format(self._dataset_name)
if not self._model_name is None:
title += "computed with {} ".format(self._model_name)
title += "projected from {input_dim}- to 2-dimensions with {red_type}.".format(input_dim=len(self._embeddings[0])
, red_type = self._reducer_type
)
self.title = title
return
# ================
# PLOT & VISUALISE
# ================
def show_static(self,
**kwargs
):
static_viz = scatter_embedding_visualizer(
df=self._df_embeddings
, x_col="x"
, y_col="y"
, size_attr=self.size_attr
, title=self.title
, **kwargs
)
return static_viz
def show_interactive(self,
**kwargs
):
go_viz = go_make_dash_embedding_visualizer(
df=self._df_embeddings,
x_col="x",
y_col="y",
size_attr="size",
instance_plotter = instance_drawer_from_og_format(self._og_format),
title=self.title,
**kwargs
)
return go_viz
def show(self,
static_args:dict={},
interactive_args:dict={}
):
static_viz = self.show_static(
**static_args
)
if self.make_interactive:
interactive_viz = self.show_interactive(
**interactive_args
)
return static_viz, interactive_viz
return static_viz