def tsne_html(datastore, d, spread=50, tsne=True):
X, COLOR, IMG, dw, dh, xs, ys = datastore
model = TSNE(n_components=2, random_state=234)
model.perplexity = d['prep']
model.learning_rate = d['lr']
if tsne:
np.set_printoptions(suppress=False)
out = model.fit_transform(X)
# plot the result
vis_x = out[:, 0] * spread
vis_y = out[:, 1] * spread
else:
vis_x = np.array(xs) * spread
vis_y = np.array(ys) * spread
p = figure(plot_width=800,
plot_height=800,
x_range=(-80, 80),
y_range=(-80, 80),
output_backend="webgl")
p.image_rgba(image=IMG, x=vis_x, y=vis_y, dw=dw, dh=dh)
show(p)
def tsne_faces(prep, X, COLOR, lr, d, thumbs):
model = TSNE(n_components=2, random_state=234)
model.perplexity = prep
model.learning_rate = lr
d['prep'] = prep
d['lr'] = lr
np.set_printoptions(suppress=False)
out = model.fit_transform(X)
# plot the result
vis_x = out[:, 0]
vis_y = out[:, 1]
hover = HoverTool(tooltips="""
<div>
<div>
<img
src="@pics" height="42" width="42"
style="float: left; margin: 0px 15px 15px 0px;"
border="0"
></img>
<span style="font-size: 15px; color: #966;">$index</span>
</div>
<div>
<span style="font-size: 10px; color: #696;">(@xvals, @yvals)</span>
</div>
</div>
""")
TOOLS = "pan,wheel_zoom,reset,lasso_select"
p = figure(title="faceLocations", tools=TOOLS,
output_backend="webgl") #,figsize=(15, 15))
p.add_tools(hover)
source = ColumnDataSource(data=dict(xvals=list(vis_x),
yvals=list(vis_y),
fill_color=list(COLOR),
pics=list(thumbs)))
p.scatter("xvals",
"yvals",
color='fill_color',
source=source,
fill_alpha=0.2,
size=5)
source.callback = CustomJS(args=dict(p=p),
code="""
var inds = cb_obj.get('selected')['1d'].indices;
var d1 = cb_obj.get('data');
var dat_len = inds.length;
//console.log(d1)
var js_tsne_x = new Array();
var js_tsne_y = new Array();
//console.log(inds);
//console.log('starting');
//console.log('length:' + dat_len)
for (i=0; i< dat_len; i++){
js_tsne_x.push(d1.xvals[inds[i]]);
js_tsne_y.push(d1.yvals[inds[i]]);
}
//console.log(js_tsne_x);
//console.log(js_tsne_y);
var kernel = IPython.notebook.kernel;
IPython.notebook.kernel.execute("inds = " + inds);
IPython.notebook.kernel.execute("tsne_x = "+ js_tsne_x);
IPython.notebook.kernel.execute("tsne_y = "+ js_tsne_y);
""")
show(p)
return (prep, lr)