Advanced Data Science

// Advanced Data Science Framework class AdvancedDataScience { constructor() { this.data = []; this.models = []; this.features = []; this.results = []; } // Deep Learning Model createDeepModel(architecture, activation, optimizer) { const model = { architecture: architecture, activation: activation, optimizer: optimizer, layers: [], weights: [], biases: [] }; // Initialize layers for (let i = 0; i < architecture.length - 1; i++) { const layer = { inputSize: architecture[i], outputSize: architecture[i + 1], weights: this.initializeWeights(architecture[i], architecture[i + 1]), biases: this.initializeBiases(architecture[i + 1]), activation: activation }; model.layers.push(layer); } return model; } // Time Series Analysis analyzeTimeSeries(series, method = 'ARIMA') { const analysis = { series: series, method: method, parameters: {}, forecasts: [], diagnostics: {} }; if (method === 'ARIMA') { analysis.parameters = this.fitARIMA(series); analysis.forecasts = this.forecastARIMA(series, analysis.parameters); } else if (method === 'LSTM') { analysis.parameters = this.fitLSTM(series); analysis.forecasts = this.forecastLSTM(series, analysis.parameters); } analysis.diagnostics = this.diagnoseModel(analysis); return analysis; } // Natural Language Processing processText(text, tasks = ['sentiment', 'classification']) { const nlp = { text: text, tasks: tasks, results: {}, embeddings: [] }; // Text preprocessing const preprocessed = this.preprocessText(text); // Generate embeddings nlp.embeddings = this.generateEmbeddings(preprocessed); // Perform tasks tasks.forEach(task => { if (task === 'sentiment') { nlp.results.sentiment = this.analyzeSentiment(nlp.embeddings); } else if (task === 'classification') { nlp.results.classification = this.classifyText(nlp.embeddings); } }); return nlp; } // Computer Vision analyzeImage(image, tasks = ['object_detection', 'classification']) { const cv = { image: image, tasks: tasks, results: {}, features: [] }; // Extract features cv.features = this.extractFeatures(image); // Perform tasks tasks.forEach(task => { if (task === 'object_detection') { cv.results.objects = this.detectObjects(cv.features); } else if (task === 'classification') { cv.results.classification = this.classifyImage(cv.features); } }); return cv; } // Reinforcement Learning trainRLAgent(environment, algorithm = 'Q-Learning') { const agent = { environment: environment, algorithm: algorithm, policy: null, rewards: [], episodes: 0 }; // Initialize policy agent.policy = this.initializePolicy(environment); // Training loop for (let episode = 0; episode < 1000; episode++) { const reward = this.runEpisode(agent.policy, environment); agent.rewards.push(reward); agent.episodes = episode; // Update policy agent.policy = this.updatePolicy(agent.policy, reward, algorithm); } return agent; } // Big Data Processing processBigData(data, operations = ['filter', 'aggregate', 'transform']) { const processing = { data: data, operations: operations, results: {}, performance: {} }; // Distributed processing const distributedData = this.distributeData(data); // Apply operations operations.forEach(operation => { if (operation === 'filter') { processing.results.filtered = this.distributedFilter(distributedData); } else if (operation === 'aggregate') { processing.results.aggregated = this.distributedAggregate(distributedData); } else if (operation === 'transform') { processing.results.transformed = this.distributedTransform(distributedData); } }); // Measure performance processing.performance = this.measurePerformance(processing); return processing; } }